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Intelligence, alcohol consumption, and adverse consequences. A study of young Norwegian men.
CONCLUSIONS: Our results suggest that the relationship between intelligence and drinking frequency is age dependent. Discrepancies with earlier findings from Sweden may be driven by changes in drinking patterns. PMID: 32914692 [PubMed - as supplied by publisher]
Source: Scandinavian Journal of Public Health - September 11, 2020 Category: International Medicine & Public Health Authors: Rogne AF, Pedersen W, Von Soest T Tags: Scand J Public Health Source Type: research
Logistic models and artificial intelligence in the sonographic assessment of adnexal masses - a systematic review of the literature.
Authors: Grigore M, Popovici RM, Gafitanu D, Himiniuc L, Murarasu M, Micu R Abstract Adnexal masses are common, yet challenging, in gynecological practice. Making the differential diagnosis between their benign and malignant condition is essential for optimal surgical management, but reliable pre-surgical differentiation is sometimes difficult using clinical features, ultrasound examination, or tumor markers alone. A possible way to improve the diagnosis is using artificial intelligence (AI) or logistic models developed based on compiling and processing clinical, ultrasound, and tumor marker data together. Ample re...
Source: Medical Ultrasonography - September 10, 2020 Category: Radiology Tags: Med Ultrason Source Type: research
Artificial intelligence and deep learning in ophthalmology - present and future (Review).
Authors: Moraru AD, Costin D, Moraru RL, Branisteanu DC Abstract Since its introduction in 1959, artificial intelligence technology has evolved rapidly and helped benefit research, industries and medicine. Deep learning, as a process of artificial intelligence (AI) is used in ophthalmology for data analysis, segmentation, automated diagnosis and possible outcome predictions. The association of deep learning and optical coherence tomography (OCT) technologies has proven reliable for the detection of retinal diseases and improving the diagnostic performance of the eye's posterior segment diseases. This review explore...
Source: Experimental and Therapeutic Medicine - September 10, 2020 Category: General Medicine Tags: Exp Ther Med Source Type: research
The Top 100 Digital Health Companies: An Infographic
According to some estimates, the global digital health market is expected to exceed $504.4 billion by 2025; that’s a nearly six-fold increase from its $86.4 billion 2018 valuation. The COVID-19 pandemic has accelerated both the adoption of and the innovation in digital health and will propel this growth in the coming years. The current situation led to the widespread adoption of telemedicine; people are using digital health apps to stay physically and mentally healthy while indoors; governments are promoting contact tracing apps to limit the virus’ spread. This increased adoption of digital health solutions entices ...
Source: The Medical Futurist - September 10, 2020 Category: Information Technology Authors: Prans Tags: 3D Printing Artificial Intelligence Augmented Reality Biotechnology Digital Health Research E-Patients Future of Medicine Future of Pharma Genomics Health Sensors & Trackers Healthcare Design Nanotechnology Personalized Medicine Source Type: blogs
Artificial intelligence helps cut down on MRI no-shows
(American Roentgen Ray Society) According to ARRS' American Journal of Roentgenology, artificial intelligence predictive analytics performed moderately well in solving complex multifactorial operational problems--outpatient MRI appointment no-shows, especially--using a modest amount of data and basic feature engineering. Such data may be readily retrievable from frontline information technology systems commonly used in most hospital radiology departments, and they can be readily incorporated into routine workflow practice to improve the efficiency and quality of health care delivery.
Source: EurekAlert! - Medicine and Health - September 10, 2020 Category: International Medicine & Public Health Source Type: news
Overview of artificial intelligence-based applications in radiotherapy: recommendations for implementation and quality assurance.
Abstract Artificial Intelligence (AI) is currently being introduced into different domains, including medicine. Specifically in radiation oncology, machine learning models allow automation and optimization of the workflow. A lack of knowledge and interpretation of these AI models can hold back wide-spread and full deployment into clinical practice. To facilitate the integration of AI models in the radiotherapy workflow, generally applicable recommendations on implementation and quality assurance (QA) of AI models are presented. For commonly used applications in radiotherapy such as auto-segmentation, automated tre...
Source: Radiotherapy and Oncology : journal of the European Society for Therapeutic Radiology and Oncology - September 10, 2020 Category: Radiology Authors: Liesbeth V, Michaël C, Dinkla Anna M, Brouwer Charlotte L, Wouter C, Dirk V, Wouter VE Tags: Radiother Oncol Source Type: research
Artificial Intelligence and Texture Analysis in Cardiac Imaging
AbstractPurpose of ReviewThe aim of this structured review is to summarize the current research applications and opportunities arising from artificial intelligence (AI) and texture analysis with regard to cardiac imaging.Recent FindingsCurrent research findings suggest tremendous potential for AI in cardiac imaging, especially with regard to objective image analyses, overcoming the limitations of an observer-dependent subjective image interpretation. Researchers have used this technique across multiple imaging modalities, for instance to detect myocardial scars in cardiac MR imaging, to predict contrast enhancement in non-...
Source: Current Cardiology Reports - September 10, 2020 Category: Cardiology Source Type: research
Artificial intelligence in trauma systems
Local trauma care and regional trauma systems are data-rich environments that are amenable to machine learning, artificial intelligence, and big-data analysis mechanisms to improve timely access to care, to measure outcomes, and to improve quality of care. Pilot work has been done to demonstrate that these methods are useful to predict patient flow at individual centers, so that staffing models can be adapted to match workflow. Artificial intelligence has also been proven useful in the development of regional trauma systems as a tool to determine the optimal location of a new trauma center based on trauma-patient geospatia...
Source: Surgery - September 10, 2020 Category: Surgery Authors: David P. Stonko, Oscar D. Guillamondegui, Peter E. Fischer, Bradley M. Dennis Source Type: research
Role of Artificial Intelligence and Machine Learning in Nanosafety
Robotics and automation have accelerated synthesis and characterization of materials, providing large data sets for training machine learning models. Although nanomaterials have not fully exploited these technologies, here, key research on use of machine learning (ML) methods to predict potentially (eco)toxicological effects of nanomaterials is reviewed. Future perspectives on how artificial intelligence/ML can make deeper contributions to nanosafety are provided. AbstractRobotics and automation provide potentially paradigm shifting improvements in the way materials are synthesized and characterized, generating large, comp...
Source: Small - September 10, 2020 Category: Nanotechnology Authors: David A. Winkler Tags: Concept Source Type: research
Sensors, Vol. 20, Pages 5164: Swarm-Intelligence-Centric Routing Algorithm for Wireless Sensor Networks
Lee The swarm intelligence (SI)-based bio-inspired algorithm demonstrates features of heterogeneous individual agents, such as stability, scalability, and adaptability, in distributed and autonomous environments. The said algorithm will be applied to the communication network environment to overcome the limitations of wireless sensor networks (WSNs). Herein, the swarm-intelligence-centric routing algorithm (SICROA) is presented for use in WSNs that aim to leverage the advantages of the ant colony optimization (ACO) algorithm. The proposed routing protocol addresses the problems of the ad hoc on-demand distance vector (...
Source: Sensors - September 10, 2020 Category: Biotechnology Authors: Changsun Shin Meonghun Lee Tags: Article Source Type: research
Artificial intelligence in pathology: an overview
Artificial intelligence (AI) is at the forefront of modern technology and emerging uses within the healthcare sector are now being realised. Pathology will be a key area where the impact of AI will be felt. With more and more laboratories making the transition to digital pathology this will provide the key infrastructure in which to deploy these tools and their use will start to become a reality in diagnostic practice. The potential of AI in pathology is to create image analysis tools which could either be used for diagnostic support or to derive novel insights into disease biology, in addition to those achievable with a human observer.
Source: Diagnostic Histopathology - September 10, 2020 Category: Pathology Authors: Benjamin Moxley-Wyles, Richard Colling, Clare Verrill Tags: Mini-symposium: Techniques in histopathology Source Type: research
Co-exposure effects of arsenic and fluoride on intelligence and oxidative stress in school-aged children: a cohort study.
Abstract Arsenic (As), and fluoride (F-) are potent contaminants, widely disturbed through drinking water and responsible for various health implications in the exposed population. We aimed to investigate the effects of these two contaminants on dental fluorosis and intelligence quotient (IQ) with the induction of oxidative stress in rural children under the co-exposed scenario. A total of 148 children (5 to 16 years old) from the exposed and control group were incorporated in the study, and samples of biological matrices were collected. Dental fluorosis through Dean's index and IQ with the help of the Wechsler sc...
Source: Environmental Research - September 10, 2020 Category: Environmental Health Authors: Saeed M, Abdur Rehman MY, Farooqi A, Malik RN Tags: Environ Res Source Type: research
On stethoscopes, patient records, artificial intelligence, and zettabytes: A glimpse into the future of digital medicine in Mexico.
Abstract Science and technology are modifying medicine at a dizzying pace. Although access in our country to the benefits of innovations in the area of devices, data storage and artificial intelligence are still very restricted, the advance of digital medicine offers the opportunity to solve some of the biggest problems faced by medical practice and public health in Mexico. The potential areas where digital medicine can be disruptive are accessibility to quality medical care, centralization of specialties in large cities, dehumanization of medical treatment, lack of resources to access evidence-supported treatment...
Source: Archivos de Cardiologia de Mexico - September 9, 2020 Category: Cardiology Authors: Araiza-Garaygordobil D, Jordán-Ríos A, Sierra-Fernández C, Juárez-Orozco LE Tags: Arch Cardiol Mex Source Type: research
AI standards launched to help tackle problem of overhyped studies
New guidelines aimed at ensuring AI research is of same quality as that in other fieldsThe first international standards for the design and reporting of clinical trials involving artificial intelligence have been announced in a move experts hope will tackle the issue of overhyped studies and prevent harm to patients.While the possibility that AI could revolutionise healthcarehas fuelled excitement, in particular around screening and diagnosis,researchers have previously warned that the field is strewn with poor-quality research.Continue reading...
Source: Guardian Unlimited Science - September 9, 2020 Category: Science Authors: Nicola Davis Science correspondent Tags: Artificial intelligence (AI) Medical research Human biology Computing Science Technology Health Society Source Type: news
Deep learning with attention supervision for automated motion artefact detection in quality control of cardiac T1-mapping
Publication date: Available online 7 September 2020Source: Artificial Intelligence in MedicineAuthor(s): Qiang Zhang, Evan Hann, Konrad Werys, Cody Wu, Iulia Popescu, Elena Lukaschuk, Ahmet Barutcu, Vanessa M. Ferreira, Stefan K. Piechnik
Source: Artificial Intelligence in Medicine - September 9, 2020 Category: Bioinformatics Source Type: research
The natural language explanation algorithms for the lung cancer computer-aided diagnosis system
Publication date: August 2020Source: Artificial Intelligence in Medicine, Volume 108Author(s): Anna Meldo, Lev Utkin, Maxim Kovalev, Ernest Kasimov
Source: Artificial Intelligence in Medicine - September 9, 2020 Category: Bioinformatics Source Type: research
Overview of artificial intelligence-based applications in radiotherapy: recommendations for implementation and quality assurance
The radiotherapy (RT) workflow is a complex process consisting of several time-consuming steps that have an impact on treatment quality and hence patient outcome. Artificial intelligence (AI) has been proposed as a tool to increase quality, standardisation and acceleration of these steps leading to a more safe and accurate radiation administration by automation and optimization of workflows [1 –3]. Especially with the introduction of adaptive radiotherapy (ART), a streamlined workflow is mandatory in clinical routine.
Source: Radiotherapy and Oncology - September 9, 2020 Category: Radiology Authors: Vandewinckele Liesbeth, Claessens Micha ël, M. Dinkla Anna, L. Brouwer Charlotte, Crijns Wouter, Verellen Dirk, van Elmpt Wouter Tags: Review Article Source Type: research
Examination of the Flynn effect in German patients with epilepsy assessed with the Wechsler Adult Intelligence Scale (WAIS) III and IV.
Abstract The Flynn effect describes an increase in intelligence quotient (IQ) in the general population of about 3 points per decade. While this effect is well established in healthy individuals, research exploring the link to brain pathologies is scarce. We investigated the Flynn effect in a German sample of 203 patients with epilepsy with left, right, and bilateral lesions. Intelligence quotient values were obtained using the Wechsler Adult Intelligence Scales (WAIS) III and IV. Our results showed a stable Flynn effect with nearly no difference in adjusted full scale IQ (FSIQ) scores (0.02 IQ points) between the...
Source: Epilepsy and Behaviour - September 9, 2020 Category: Neurology Authors: Mross PM, Gorny I, Krause K, Biermann L, Habermehl L, Möller L, Bergmann MP, Tsalouchidou PE, Laakmann JD, Weyand AM, Menzler K, Knake S Tags: Epilepsy Behav Source Type: research
Early-life carbamate exposure and intelligence quotient of seven-year-old children.
CONCLUSION: Results of the present study verify that children in an agricultural region of China were widely exposed to carbamate pesticides. Carbamate exposure in utero and at three and seven years may adversely impact children's neurodevelopment. PMID: 32919260 [PubMed - as supplied by publisher]
Source: Environment International - September 9, 2020 Category: Environmental Health Authors: Zhang J, Guo J, Wu C, Qi X, Jiang S, Zhou T, Xiao H, Li W, Lu D, Feng C, Liang W, Chang X, Zhang Y, Cao Y, Wang G, Zhou Z Tags: Environ Int Source Type: research
Use of artificial intelligence and machine learning for estimating malignancy risk of thyroid nodules
Purpose of review Current methods for thyroid nodule risk stratification are subjective, and artificial intelligence algorithms have been used to overcome this shortcoming. In this review, we summarize recent developments in the application of artificial intelligence algorithms for estimating the risks of malignancy in a thyroid nodule. Recent findings Artificial intelligence have been used to predict malignancy in thyroid nodules using ultrasound images, cytopathology images, and molecular markers. Recent clinical trials have shown that artificial intelligence model's performance matched that of experienced radiologi...
Source: Current Opinion in Endocrinology, Diabetes and Obesity - September 8, 2020 Category: Endocrinology Tags: THYROID: Edited by Angela M. Leung Source Type: research
Sensors, Vol. 20, Pages 5108: Assessment of Smoke Contamination in Grapevine Berries and Taint in Wines Due to Bushfires Using a Low-Cost E-Nose and an Artificial Intelligence Approach
h R. Unnithan Bushfires are increasing in number and intensity due to climate change. A newly developed low-cost electronic nose (e-nose) was tested on wines made from grapevines exposed to smoke in field trials. E-nose readings were obtained from wines from five experimental treatments: (i) low-density smoke exposure (LS), (ii) high-density smoke exposure (HS), (iii) high-density smoke exposure with in-canopy misting (HSM), and two controls: (iv) control (C; no smoke treatment) and (v) control with in-canopy misting (CM; no smoke treatment). These e-nose readings were used as inputs for machine learning algorithms to ...
Source: Sensors - September 8, 2020 Category: Biotechnology Authors: Sigfredo Fuentes Vasiliki Summerson Claudia Gonzalez Viejo Eden Tongson Nir Lipovetzky Kerry L. Wilkinson Colleen Szeto Ranjith R. Unnithan Tags: Article Source Type: research
Ensemble neural network approach detecting pain intensity from facial expressions
Publication date: Available online 7 September 2020Source: Artificial Intelligence in MedicineAuthor(s): Ghazal Bargshady, Xujuan Zhou, Ravinesh C Deo, Jeffrey Soar, Frank Whittaker, Hua Wang
Source: Artificial Intelligence in Medicine - September 7, 2020 Category: Bioinformatics Source Type: research
Evaluation of emotional intelligence among master's degree students in nursing and midwifery: a cross-sectional survey - Cassano F, Tamburrano A, Mellucci C, Galletti C, Damiani G, Laurenti P.
Emotional intelligence is an important skill for nurses and midwives and leads them to cleverly work in various fields and contexts, successfully handling colleagues, patients and their families. The aim of this cross-sectional study is to evaluate the rel...
Source: SafetyLit - September 7, 2020 Category: International Medicine & Public Health Tags: Age: Young Adults Source Type: news
Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors
ConclusionIn order for AI applications to contribute to the improvement of the quality and efficiency of clinical radiology, implementation processes need to be carried out in a structured manner, thereby providing evidence on the clinical added value of AI applications.Key Points•Successful implementation of AI in radiology requires collaboration between radiologists and referring clinicians.•Implementation of AI in radiology is facilitated by the presence of a local champion.•Evidence on the clinical added value of AI in radiology is needed for successful implementation.
Source: European Radiology - September 7, 2020 Category: Radiology Source Type: research
Skeletal Scintigraphy Image Enhancement based Neutrosophic Sets and Salp Swarm Algorithm
Publication date: Available online 6 September 2020Source: Artificial Intelligence in MedicineAuthor(s): Mohammed M. Nasef, Fatma T. Eid, Amr M. Sauber
Source: Artificial Intelligence in Medicine - September 6, 2020 Category: Bioinformatics Source Type: research
Artificial intelligence in health care: preparing for the fifth Industrial Revolution.
PMID: 32892395 [PubMed - as supplied by publisher]
Source: Med J Aust - September 6, 2020 Category: General Medicine Authors: Sung JJ, Stewart CL, Freedman B Tags: Med J Aust Source Type: research
Use of artificial intelligence in skin cancer diagnosis and management.
PMID: 32892366 [PubMed - as supplied by publisher]
Source: Med J Aust - September 6, 2020 Category: General Medicine Authors: Wada M, Ge Z, Gilmore SJ, Mar VJ Tags: Med J Aust Source Type: research
National Artificial Intelligence (AI) Research Institutes Program Webinar
Sep 21 2020 3:30PM toSep 21 2020 5:00PMZoom WebinarArtificial Intelligence (AI) has advanced tremendously and today promises personalized healthcare; enhanced national security; improved transportation; and more effective education, to name just a few benefits. Increased computing power, the availability of large datasets and streaming data, and algorithmic advances in machine learning (ML) have made it possible for AI research and development to create new sectors of the economy and revitalize industries. Continued advancement, enabled by ... More at https://www.nsf.gov/events/event_summ.jsp?cntn_id=301175&WT.mc_i...
Source: NSF Events - September 5, 2020 Category: Science Source Type: events
Artificial intelligence-it depends on what we make of it.
Authors: Kaufmann R, Navarini A PMID: 32876709 [PubMed - in process]
Source: Der Hautarzt: Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete - September 4, 2020 Category: Dermatology Tags: Hautarzt Source Type: research
2 Personality Traits Linked To Higher IQ
People with these two traits had higher crystallised intelligence. → Support PsyBlog for just $5 per month. Enables access to articles marked (M) and removes ads. → Explore PsyBlog's ebooks, all written by Dr Jeremy Dean: Accept Yourself: How to feel a profound sense of warmth and self-compassion The Anxiety Plan: 42 Strategies For Worry, Phobias, OCD and Panic Spark: 17 Steps That Will Boost Your Motivation For Anything Activate: How To Find Joy Again By Changing What You Do
Source: PsyBlog | Psychology Blog - September 3, 2020 Category: Psychiatry & Psychology Authors: Jeremy Dean Tags: Intelligence Source Type: blogs
Evaluation of Artificial Intelligence in Participating Structure-Based Virtual Screening for Identifying Novel Interleukin-1 Receptor Associated Kinase-1 Inhibitors
In this study, at first, a discriminatory structure-based virtual screening (SBVS) was employed, but only one active compound (compound 1, IC50 = 2.25 μM) was identified. The low hit rate (2.63%) which derives from the weak discriminatory power of docking among high-scored molecules was observed in our virtual screening (VS) process for IRAK1 inhibitor. Furthermore, an artificial intelligence (AI) method, which employed a support vector machine (SVM) model, integrated information of molecular docking, pharmacophore scoring and molecular descriptors was constructed to enhance the traditional IRAK1-VS protocol. Using AI, it...
Source: Frontiers in Oncology - September 3, 2020 Category: Cancer & Oncology Source Type: research
Artificial intelligence techniques in asthma: a systematic review and critical appraisal of the existing literature
Artificial intelligence (AI) when coupled with large amounts of well characterised data can yield models that are expected to facilitate clinical practice and contribute to the delivery of better care, especially in chronic diseases such as asthma. The purpose of this paper is to review the utilisation of AI techniques in all aspects of asthma research, i.e. from asthma screening and diagnosis, to patient classification and the overall asthma management and treatment, in order to identify trends, draw conclusions and discover potential gaps in the literature. We conducted a systematic review of the literature using PubMed ...
Source: European Respiratory Journal - September 3, 2020 Category: Respiratory Medicine Authors: Exarchos, K. P., Beltsiou, M., Votti, C.-A., Kostikas, K. Tags: Review Source Type: research
Caring behaviors, moral sensitivity, and emotional intelligence in intensive care nurses: A descriptive study
AbstractPurposeTo evaluate the relationship of caring behaviors with moral sensitivity, emotional intelligence and descriptive characteristics in intensive care nurses.MethodDescriptive study. The sample of this study consisted of 156 nurses. The data were collected using introductory information form, caring behaviors inventory, moral sensitivity questionnaire, and emotional intelligence scale. The factors affecting caring behavior were determined using stepwise multiple linear regression.FindingIt was determined that high education level, working in shifts, as well as appraisal of emotion subscale of emotional intelligen...
Source: Perspectives in Psychiatric Care - September 3, 2020 Category: Psychiatry Authors: Se çil Taylan, İlknur Özkan, Günnaz Şahin Tags: ORIGINAL ARTICLE Source Type: research
Sensors, Vol. 20, Pages 5016: Which Visual Modality Is Important When Judging the Naturalness of the Agent (Artificial Versus Human Intelligence) Providing Recommendations in the Symbolic Consumption Context?
This study aimed to explore how the type and visual modality of a recommendation agent&rsquo;s identity affect male university students&rsquo; (1) self-reported responses to agent-recommended symbolic brand in evaluating the naturalness of virtual agents, human, or artificial intelligence (AI) and (2) early event-related potential (ERP) responses between text- and face-specific scalp locations. Twenty-seven participants (M = 25.26, SD = 5.35) whose consumption was more motivated by symbolic needs (vs. functional) were instructed to perform a visual task to evaluate the naturalness of the target stimuli. As ...
Source: Sensors - September 3, 2020 Category: Biotechnology Authors: Kyungmi Chung Jin Young Park Kiwan Park Yaeri Kim Tags: Article Source Type: research
High throughput assessment of biomarkers in tissue microarrays using artificial intelligence: PTEN loss as a proof-of-principle in multi-center prostate cancer cohorts
Modern Pathology, Published online: 03 September 2020; doi:10.1038/s41379-020-00674-wHigh throughput assessment of biomarkers in tissue microarrays using artificial intelligence: PTEN loss as a proof-of-principle in multi-center prostate cancer cohorts
Source: Modern Pathology - September 3, 2020 Category: Pathology Authors: Stephanie A. Harmon Palak G. Patel Thomas H. Sanford Isabelle Caven Rachael Iseman Thiago Vidotto Clarissa Pican ço Jeremy A. Squire Samira Masoudi Sherif Mehralivand Peter L. Choyke David M. Berman Baris Turkbey Tamara Jamaspishvili Source Type: research
Combining Three-Dimensional Modeling with Artificial Intelligence to Increase Specificity and Precision in Peptide-MHC Binding Predictions.
In this study, we present a rapid, predictive computational approach that combines a popular, sequence-based artificial neural network method, NetMHCpan 4.0, with three-dimensional structural modeling. We find that the ensembles of bound peptide conformations generated by the programs MODELLER and Rosetta FlexPepDock are less variable in geometry for strong binders than for low-affinity peptides. In tests on 1271 peptide sequences for which the experimental dissociation constants of binding to the well-characterized murine MHC allele H-2Db are known, by applying thresholds for geometric fluctuations the structure-based app...
Source: Journal of Immunology - September 2, 2020 Category: Allergy & Immunology Authors: Aranha MP, Jewel YSM, Beckman RA, Weiner LM, Mitchell JC, Parks JM, Smith JC Tags: J Immunol Source Type: research
Identifying normal mammograms in a large screening population using artificial intelligence
ConclusionsThe evaluated AI system can correctly identify a proportion of a screening population as cancer-free and also reduce false positives. Thus, AI has the potential to improve mammography screening efficiency.Key Points• Retrospective study showed that AI can identify a proportion of mammograms as normal in a screening population.• Excluding normal exams from screening using AI can reduce false positives.
Source: European Radiology - September 2, 2020 Category: Radiology Source Type: research
Why we need an intelligence-led approach to pandemics: supporting science and public health during COVID-19 and beyond.
PMID: 32877627 [PubMed - as supplied by publisher]
Source: J R Soc Med AND (has... - September 2, 2020 Category: General Medicine Authors: Bowsher G, Sullivan R Tags: J R Soc Med Source Type: research
The Future Of Prosthetics Depends On A.I.
To the 1 million global new amputees yearly (that’s one amputation every 30 second), the loss of a limb means that they have to adapt to a new world. Take India, one of the world’s most populated countries, for example. Only 3% of its buildings are adapted for accessibility, while the country counts more than half a million amputees. As part of this new adaptation process, amputees succumb to further injuries. Experts estimate that amputees fall at about 200 times the rate of healthy individuals; and seek medical attention comparable to the institutionalised elderly. With aging populations, increased incidence of va...
Source: The Medical Futurist - September 1, 2020 Category: Information Technology Authors: Prans Tags: Artificial Intelligence Cyborgization Robotics prosthetic leg robotics in healthcare Source Type: blogs
Enhancing India ’s Health Care during COVID Era: Role of Artificial Intelligence and Algorithms
AbstractComputerization of health care is the only model to sustain safe health care in this COVID era particularly in overpopulated nations with limited health care providers/systems like India. Accordingly incorporation of computer-based algorithms and artificial intelligence seems very robust and practical models to assist the physician. The advantages of Computerized algorithms to facilitate better screening, diagnosis or follow-up and use of Artificial Intelligence (AI) to aid in medical diagnosis are discussed.
Source: Indian Journal of Otolaryngology and Head and Neck Surgery - September 1, 2020 Category: ENT & OMF Source Type: research
Viruses, Vol. 12, Pages 972: Artificial Intelligence-Assisted Loop Mediated Isothermal Amplification (ai-LAMP) for Rapid Detection of SARS-CoV-2
ter Burkhart Wendy Hacking Judy Botham Joe Boyce Hayley Wilkinson Craig Williams Jayde Whittingham-Dowd Elisabeth Shaw Matt Hodges Lisa Butler Michelle D. Bates Roberto La Ragione Wamadeva Balachandran Anil Fernando Muhammad Munir Until vaccines and effective therapeutics become available, the practical solution to transit safely out of the current coronavirus disease 19 (CoVID-19) lockdown may include the implementation of an effective testing, tracing and tracking system. However, this requires a reliable and clinically validated diagnostic platform for the sensitive and specific identific...
Source: Viruses - September 1, 2020 Category: Virology Authors: Mohammed A. Rohaim Emily Clayton Irem Sahin Julianne Vilela Manar E. Khalifa Mohammad Q. Al-Natour Mahmoud Bayoumi Aurore C. Poirier Manoharanehru Branavan Mukunthan Tharmakulasingam Nouman S. Chaudhry Ravinder Sodi Amy Brown Peter Burkhart Wendy Hacking Tags: Article Source Type: research
Emotional Intelligence: Five Ways to Have Better Interactions and Improve Your Work Life.
PMID: 32929945 [PubMed - in process]
Source: Family Practice Management - September 1, 2020 Category: Practice Management Authors: Eull NA Tags: Fam Pract Manag Source Type: research
Artificial intelligence: aid in early oral cancer diagnosis at the dental clinic
Early oral cancer diagnosis is the key to successful treatment. However, the literature continues showing cases that begin treatment in the advanced stages. In dental practice, a routine should be established: full mouth examination to identify changes that lead to early diagnosis. There are references that professionals and students are insecure in their diagnoses. This was the opportunity to develop an auxiliary device to the diagnostic exam, based on artificial intelligence (AI), identifying early signs.
Source: Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and Endodontics - September 1, 2020 Category: ENT & OMF Authors: JULIANA ROMANINI, LUCIANO MITSUO KANOMATA, RODRIGO MARQUES DE FIGUEIREDO Tags: 20190887 Source Type: research
Funding boost for artificial intelligence to speed up diagnosis of deadly diseases
Patients will benefit from major improvements in technology to speed up the diagnosis of deadly diseases like cancer thanks to further investment in the use of artificial intelligence (AI) across the NHS.
Source: NHS Networks - September 1, 2020 Category: UK Health Source Type: news
Artificial Intelligence and Data Mining to Assess Lung Cancer Risk: Challenges and Opportunities.
PMID: 32866415 [PubMed - as supplied by publisher]
Source: Annals of Internal Medicine - September 1, 2020 Category: Internal Medicine Authors: Pinsky P Tags: Ann Intern Med Source Type: research
The Legal Dimensions of Big Data, Artificial Intelligence and Machine Learning in Pharmaceutical Innovation (Original Title in Accepted Version): Editorial to Special Issue of the European Pharmaceutical Law Review on 'Big Data, AI & Machine Learning in P
Timo Minssen (University of Copenhagen), Claudia Seitz (University of Ghent), The Legal Dimensions of Big Data, Artificial Intelligence and Machine Learning in Pharmaceutical Innovation (Original Title in Accepted Version): Editorial to Special Issue of the European Pharmaceutical Law Review on...
Source: HealthLawProf Blog - August 31, 2020 Category: Medical Law Authors: Katharine Van Tassel Source Type: blogs
IJERPH, Vol. 17, Pages 6347: Evaluation of Emotional Intelligence among Master ’s Degree Students in Nursing and Midwifery: A Cross-Sectional Survey
IJERPH, Vol. 17, Pages 6347: Evaluation of Emotional Intelligence among Master’s Degree Students in Nursing and Midwifery: A Cross-Sectional Survey International Journal of Environmental Research and Public Health doi: 10.3390/ijerph17176347 Authors: Cassano Tamburrano Mellucci Galletti Damiani Laurenti Emotional intelligence is an important skill for nurses and midwives and leads them to cleverly work in various fields and contexts, successfully handling colleagues, patients and their families. The aim of this cross-sectional study is to evaluate the relationship between emotional intelligence, s...
Source: International Journal of Environmental Research and Public Health - August 31, 2020 Category: Environmental Health Authors: Cassano Tamburrano Mellucci Galletti Damiani Laurenti Tags: Article Source Type: research
Evaluation of an artificial intelligence system for diagnosing scaphoid fracture on direct radiography
ConclusionThe deep learning algorithm has the potential to be used for diagnosing scaphoid fractures on radiographs. Artificial intelligence can be useful for scaphoid fracture diagnosis particularly in the absence of an experienced orthopedist or hand surgeon.
Source: European Journal of Trauma and Emergency Surgery - August 30, 2020 Category: Emergency Medicine Source Type: research
The natural language explanation algorithms for the lung cancer computer-aideddiagnosis system
Publication date: Available online 28 August 2020Source: Artificial Intelligence in MedicineAuthor(s): Anna Meldo, Lev Utkin, Maxim Kovalev, Ernest Kasimov
Source: Artificial Intelligence in Medicine - August 29, 2020 Category: Bioinformatics Source Type: research
Early experience utilizing artificial intelligence shows significant reduction in transfer times and length of stay in a hub and spoke model.
CONCLUSIONS: The incorporation of AI software was associated with an improvement in transfer times for LVO patients as well as a reduction in the overall hospital LOS and LOS in the neurological-ICU. More extensive studies are warranted to expand on the ability of AI technology to improve transfer times and outcomes for LVO patients. PMID: 32847449 [PubMed - as supplied by publisher]
Source: Interventional Neuroradiology - August 28, 2020 Category: Radiology Tags: Interv Neuroradiol Source Type: research