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Driving maneuvers prediction based autonomous driving control by deep Monte Carlo tree search - Chen J, Zhang C, Luo J, Xie J, Wan Y.
Autonomous driving has attracted significant attention in recent years. With the booming of artificial intelligence (AI), deep learning technologies have been applied to autonomous driving to help vehicles better perceive the environment. Besides the perce...
Source: SafetyLit - August 3, 2020 Category: International Medicine & Public Health Tags: Research Methods, Surveillance and Codes, Models Source Type: news

'Deepfakes' ranked as most serious AI crime threat
(University College London) Fake audio or video content has been ranked by experts as the most worrying use of artificial intelligence in terms of its potential applications for crime or terrorism, according to a new UCL report.
Source: EurekAlert! - Social and Behavioral Science - August 3, 2020 Category: International Medicine & Public Health Source Type: news

Use of a rapid electronic survey methodology to estimate blood donors' potential exposure to emerging infectious diseases: Application of a statistically representative sampling methodology to assess risk in US blood centers.
CONCLUSION: The structured donor demographic sample-based data provided an assessment of blood donors' potential exposure to an emerging pathogen that was 63% larger than the U.S. population-based estimate. This illustrates the need for tailored blood donor-based EID risk assessments that provide more specific demographic risk intelligence and can inform appropriate regulatory decision making. PMID: 32743798 [PubMed - as supplied by publisher]
Source: Transfusion - August 3, 2020 Category: Hematology Authors: Whitaker BI, Walderhaug M, Hinkins S, Steele WR, Custer B, Kessler D, Leparc G, Gottschall JL, Bialkowski W, Stramer SL, Dodd RY, Crowder L, Vahidnia F, Shaz BH, Kamel H, Rebosa M, Stern M, Anderson SA Tags: Transfusion Source Type: research

Optimising efficacy of antibiotics against systemic infection by varying dosage quantities and times
by Andy Hoyle, David Cairns, Iona Paterson, Stuart McMillan, Gabriela Ochoa, Andrew P. Desbois Mass production and use of antibiotics has led to the rise of resistant bacteria, a problem possibly exacerbated by inappropriate and non-optimal application. Antibiotic treatment often followsfixed-dose regimens, with a standard dose of antibiotic administered equally spaced in time. But are such fixed-dose regimens optimal or can alternative regimens be designed to increase efficacy? Yet, few mathematical models have aimed to identify optimal treatments based on biological data of infections inside a living host. In addition, ...
Source: PLoS Computational Biology - August 3, 2020 Category: Biology Authors: Andy Hoyle Source Type: research

COVID-19 and seasonal influenza: dual burden and epidemic intelligence from Flu vaccine
Source: BMJ Comments - August 2, 2020 Category: General Medicine Source Type: forums

Agent-oriented Decision Support System for Business Processes Management with Genetic Algorithm Optimization: an Application in Healthcare
AbstractAgent-based approaches have been known to be appropriate as systems and methods in medical administration in recent years. The increased attention to processes led to the recent growth of Business Process Management discipline, which quite exclusively adopt discrete-event modeling and simulation. This paper proposes a medical agent-oriented decision support system to integrate the achievements from management science, agent-based modeling, and artificial intelligence. In particular, we performed a practical application concerning a hospital emergency department medical system. We adopt the widely used multi-agent p...
Source: Journal of Medical Systems - August 2, 2020 Category: Information Technology Source Type: research

Development and validation of the Drivers' Emotional Intelligence Inventory (EMOVIAL) - Belastegi-Axpe X, Aritzeta A, Soroa G, Pascual M.
Road fatalities involving young road users have become a global health issue. Although human factors are known to be involved in road fatalities, little research has examined the way in which emotional competencies may affect road accidents. With the aim o...
Source: SafetyLit - August 1, 2020 Category: International Medicine & Public Health Tags: Jurisprudence, Laws, Legislation, Policies, Rules Source Type: news

Improving the Detection of Glaucoma and Its Progression: A Topographical Approach
Glaucoma is typically defined as a progressive optic neuropathy characterized by a specific (arcuate) pattern of visual field (VF) and anatomic changes. Therefore, we should be comparing arcuate patterns of damage seen on VFs with those seen on optical coherence tomography (OCT) maps. Instead, clinicians often use summary metrics such as VF pattern standard deviation, OCT retinal nerve fiber (RNF) global thickness, etc. There are 2 major impediments to topographically comparing patterns of damage on VF and OCT maps. First, until recently, it was not easy to make these comparisons with commercial reports. While recent repor...
Source: Journal of Glaucoma - August 1, 2020 Category: Opthalmology Tags: Perspective Source Type: research

Automatic breast ultrasound: state of the art and future perspectives.
Authors: Nicosia L, Ferrari F, Bozzini AC, Latronico A, Trentin C, Meneghetti L, Pesapane F, Pizzamiglio M, Balesetreri N, Cassano E Abstract The three-dimensional automated breast ultrasound system (3D ABUS) is a new device which represents a huge innovation in the breast ultrasound field, with several application scenarios of great interest. ABUS's aim is to solve some of the main defects of traditional ultrasound, such as lack of standardization, high level of skill non-reproducibility, small field of view and high commitment of physician time. ABUS has proven to be an excellent non-ionising alternative to other...
Source: Ecancermedicalscience - August 1, 2020 Category: Cancer & Oncology Tags: Ecancermedicalscience Source Type: research

Systemic arterial hypertension and cognition in adults: effects on executive functioning
Conclusion: The results suggest that patients with SAH have a significant impairment in EF, more specifically in updating and shifting. Be sides that, such damage may be directly proportional to the severity of SAH. It is suggested that future studies include neuroimaging exams to exclude possible cerebrovascular diseases.RESUMO Introdu ção: As alterações do sistema nervoso central associadas à hipertensão arterial sistêmica (HAS) são progressivas e podem ocasionar efeitos negativos no desempenho cognitivo. O objetivo deste estudo foi investigar a relação entre a HAS e os componentes das funções executivas (FE)...
Source: Arquivos de Neuro-Psiquiatria - August 1, 2020 Category: Neurology Source Type: research

Heart teams in the Netherlands: From teamwork to data ‑driven decision-making.
Heart teams in the Netherlands: From teamwork to data‑driven decision-making. Neth Heart J. 2020 Aug;28(Suppl 1):73-77 Authors: Wierda E, van Veghel D, Hirsch A, de Mol BAJM Abstract For all patients with cardiovascular disease requiring an intervention, this is a major life event. The heart team concept is one of the most exciting and effective team modalities to ensure cost-effective application of invasive cardiovascular care. It optimises patient selection in a complex decision-making process and identifies risk/benefit ratios of different interventions. Informed consent and patient safety sho...
Source: Netherlands Heart Journal - August 1, 2020 Category: Cardiology Authors: Wierda E, van Veghel D, Hirsch A, de Mol BAJM Tags: Neth Heart J Source Type: research

Epidemiology of measles during the COVID-19 pandemic, a description of the surveillance data, 29 EU/EEA countries and the United Kingdom, January to May 2020.
Abstract The number of measles cases declined in European Union/European Economic Area countries and the United Kingdom in 2020. Reported cases to The European Centre for Disease Prevention and Control decreased from 710 to 54 between January and May. Epidemic intelligence screening observed a similar trend. Under-diagnoses and under-reporting during the coronavirus disease (COVID-19) pandemic should be ruled out before concluding reduced measles circulation is because of social distancing and any community control measures taken to control COVID-19. PMID: 32762795 [PubMed - in process]
Source: Euro Surveill - August 1, 2020 Category: Infectious Diseases Authors: Nicolay N, Mirinaviciute G, Mollet T, Celentano LP, Bacci S Tags: Euro Surveill Source Type: research

Middle-Level Features for the Explanation of Classification Systems by Sparse Dictionary Methods.
Abstract Machine learning (ML) systems are affected by a pervasive lack of transparency. The eXplainable Artificial Intelligence (XAI) research area addresses this problem and the related issue of explaining the behavior of ML systems in terms that are understandable to human beings. In many explanation of XAI approaches, the output of ML systems are explained in terms of low-level features of their inputs. However, these approaches leave a substantive explanatory burden with human users, insofar as the latter are required to map low-level properties into more salient and readily understandable parts of the input....
Source: International Journal of Neural Systems - August 1, 2020 Category: Neurology Authors: Apicella A, Isgrò F, Prevete R, Tamburrini G Tags: Int J Neural Syst Source Type: research

Researchers Use Artificial Intelligence To Study Elephant Calls
The Elephant Listening Project has been listening to elephant calls for 20 years to learn more about animals. But identifying the calls used to be laborious — until scientists used AI.
Source: NPR Health and Science - July 31, 2020 Category: Consumer Health News Source Type: news

Health in 2 Point 00, Episode 140 | Heal, Lemonaid, CVS & Sema4
Today on Health in 2 Point 00, Jess helps me celebrate my birthday Kylie Jenner-style. On Episode 140, Jess and I discuss Humana investing $100 million in Heal, Lemonaid raising $33 million in a Series B, CVS Caremark announcing 5 new companies in their digital health platform—4 of which are about weight loss, and perplexing health intelligence company Sema4 raising $121 million in a seed round. —Matthew Holt
Source: The Health Care Blog - July 31, 2020 Category: Consumer Health News Authors: Christina Liu Tags: Health in 2 Point 00 Health Technology Jessica DaMassa Matthew Holt lemonaid Source Type: blogs

Cognitive and academic benefits of music training with children: A multilevel meta-analysis.
Authors: Sala G, Gobet F Abstract Music training has repeatedly been claimed to positively impact children's cognitive skills and academic achievement (literacy and mathematics). This claim relies on the assumption that engaging in intellectually demanding activities fosters particular domain-general cognitive skills, or even general intelligence. The present meta-analytic review (N = 6,984, k = 254, m = 54) shows that this belief is incorrect. Once the quality of study design is controlled for, the overall effect of music training programs is null ([Formula: see text] ≈ 0) and highly consistent across studies (...
Source: Memory and Cognition - July 31, 2020 Category: Neuroscience Tags: Mem Cognit Source Type: research

Medical Education Must Adapt to Support the Broadening Role of Physicians
By SYLVIE STACY, MD, MPH As a physician and writer on the topic medical careers, I’ve noticed extensive interest in nonclinical career options for physicians. These include jobs in health care administration, management consulting, pharmaceuticals, health care financing, and medical writing, to name a few. This anecdotal evidence is supported by survey data. Of over 17,000 physicians surveyed in the 2016 Survey of America’s Physicians: Practice Patterns and Perspectives, 13.5% indicated that they planned to seek a nonclinical job within the subsequent one to three years, which was an increase from less than 10% in a...
Source: The Health Care Blog - July 31, 2020 Category: Consumer Health News Authors: Christina Liu Tags: Medical Education Medical Practice Physicians Medical School Sylvie Stacy Source Type: blogs

National Intelligence Report: Early warning scores to detect deterioration in Covid-19 inpatients, HSIB
This provides insight into investigation conducted in response to referral highlighting over reliance on early warning scores used in isolation from other indicators of deterioration in a number of NHS trusts when patient admitted to general ward with suspected/confirmed Covid-19
Source: Current Awareness Service for Health (CASH) - July 31, 2020 Category: Consumer Health News Source Type: news

A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis
COVID-19 has caused a global pandemic and become the most urgent threat to the entire world. Tremendous efforts and resources have been invested in developing diagnosis, prognosis and treatment strategies to combat the disease. Although nucleic acid detection has been mainly used as the gold standard to confirm this RNA virus-based disease, it has been shown that such a strategy has a high false negative rate, especially for patients in the early stage, and thus CT imaging has been applied as a major diagnostic modality in confirming positive COVID-19. Despite the various, urgent advances in developing artificial intellige...
Source: IEE Transactions on Medical Imaging - July 31, 2020 Category: Biomedical Engineering Source Type: research

Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets
Under the global pandemic of COVID-19, the use of artificial intelligence to analyze chest X-ray (CXR) image for COVID-19 diagnosis and patient triage is becoming important. Unfortunately, due to the emergent nature of the COVID-19 pandemic, a systematic collection of CXR data set for deep neural network training is difficult. To address this problem, here we propose a patch-based convolutional neural network approach with a relatively small number of trainable parameters for COVID-19 diagnosis. The proposed method is inspired by our statistical analysis of the potential imaging biomarkers of the CXR radiographs. Experimen...
Source: IEE Transactions on Medical Imaging - July 31, 2020 Category: Biomedical Engineering Source Type: research

Design and Development of Diabetes Management System Using Machine Learning.
Authors: Sowah RA, Bampoe-Addo AA, Armoo SK, Saalia FK, Gatsi F, Sarkodie-Mensah B Abstract This paper describes the design and implementation of a software system to improve the management of diabetes using a machine learning approach and to demonstrate and evaluate its effectiveness in controlling diabetes. The proposed approach for this management system handles the various factors that affect the health of people with diabetes by combining multiple artificial intelligence algorithms. The proposed framework factors the diabetes management problem into subgoals: building a Tensorflow neural network model for food...
Source: International Journal of Telemedicine and Applications - July 31, 2020 Category: Information Technology Tags: Int J Telemed Appl Source Type: research

Google engineer who programs censorship algorithms arrested at Portland BLM riot
(Natural News) Zachary Trudo, an AI (artificial intelligence) software developer who works for Google, was reportedly arrested in Portland the other day after allegedly committing numerous crimes at a Black Lives Matter (BLM) riot. Trudo is now being held at the Multnomah County Detention Center on charges of assault, resisting arrest, interfering with a peace...
Source: - July 31, 2020 Category: Consumer Health News Source Type: news

Hippocampal formation volume, its subregions, and its specific contributions to visuospatial memory tasks.
Abstract Visuospatial memory (VSM) is the ability to represent and manipulate visual and spatial information. This cognitive function depends on the functioning of the hippocampal formation (HF), located in the medial portion of the temporal cortex. The present study aimed to investigate whether there is an association between the volume of the HF and performance in VSM tests. High-resolution structural images (T1) and neuropsychological tests evaluating VSM were performed on 31 healthy individuals. A VSM index was created by grouping 5 variables from 5 tasks (4 from the CANTAB battery and 1 from the Rey-Osterriet...
Source: Braz J Med Biol Res - July 31, 2020 Category: Research Authors: Shavitt T, Johnson INS, Batistuzzo MC Tags: Braz J Med Biol Res Source Type: research

Development of a computer-aided detection system for colonoscopy and a publicly accessible large colonoscopy video database (with video)
Artificial intelligence (AI)-assisted polyp detection systems for colonoscopic use are currently attracting attention because they may reduce the possibility of adenomas being missed. However, few systems have the necessary regulatory approval for use in clinical practice. We aimed to develop an AI-assisted polyp detection system and to validate its performance using a large colonoscopy video database designed to be publicly accessible.
Source: Gastrointestinal Endoscopy - July 31, 2020 Category: Gastroenterology Authors: Masashi Misawa, Shin-ei Kudo, Yuichi Mori, Kinichi Hotta, Kazuo Ohtsuka, Takahisa Matsuda, Shoichi Saito, Toyoki Kudo, Toshiyuki Baba, Fumio Ishida, Hayato Itoh, Masahiro Oda, Kensaku Mori Source Type: research

The real time health system: adapting healthcare to the new normal
A healthcare system in which stakeholders share, adopt and apply medical knowledge in real time enables improved care, accelerated workflows, streamlined business processes and a better balance of resources with demand.
Source: Healthcare IT News Blog - July 30, 2020 Category: Information Technology Tags: Analytics Artificial Intelligence Decision Support Interoperability Population Health Source Type: blogs

The real-time health system: Adapting healthcare to the new normal
A healthcare system in which stakeholders share, adopt and apply medical knowledge in real time enables improved care, accelerated workflows, streamlined business processes and a better balance of resources with demand.
Source: Healthcare IT News Blog - July 30, 2020 Category: Information Technology Tags: Analytics Artificial Intelligence Decision Support Interoperability Population Health Source Type: blogs

Application of Artificial Intelligence for Real-Time Facial Asymmetry Analysis
No abstract available
Source: Plastic and Reconstructive Surgery - July 30, 2020 Category: Cosmetic Surgery Tags: Viewpoints Source Type: research

3 Personality Traits That Indicate High IQ
Many people do not predict that these traits are linked to being smart. → 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 - July 30, 2020 Category: Psychiatry & Psychology Authors: Jeremy Dean Tags: Intelligence Personality Source Type: blogs

Medical Education Empowered by Theater (MEET)
The medical education community acknowledges the importance of including the humanities in general, and the liberal arts in particular, in the education of health professionals. Among the liberal arts, theater is especially helpful for educators wanting to bring experiences that are both real and challenging to the learning encounter in an interactive, engaging, and reflective way. In this Perspective, the authors share what they have learned after working together with a company of actors for 8 years (2012–2019) in different obligatory and elective curricular activities. Influenced by Freire’s Pedagogy of the Oppresse...
Source: Academic Medicine - July 30, 2020 Category: Universities & Medical Training Tags: Perspectives Source Type: research

Machine learning methods in organ transplantation
Purpose of review Machine learning techniques play an important role in organ transplantation. Analysing the main tasks for which they are being applied, together with the advantages and disadvantages of their use, can be of crucial interest for clinical practitioners. Recent findings In the last 10 years, there has been an explosion of interest in the application of machine-learning techniques to organ transplantation. Several approaches have been proposed in the literature aiming to find universal models by considering multicenter cohorts or from different countries. Moreover, recently, deep learning has also been a...
Source: Current Opinion in Organ Transplantation - July 30, 2020 Category: Surgery Tags: ARTIFICIAL INTELLIGENCE IN TRANSPLANTATION: Edited by Javier Briceño Source Type: research

Precision transplant pathology
Purpose of review Transplant pathology contributes substantially to personalized treatment of organ allograft recipients. Rapidly advancing next-generation human leukocyte antigen (HLA) sequencing and pathology are enhancing the abilities to improve donor/recipient matching and allograft monitoring. Recent findings The present review summarizes the workflow of a prototypical patient through a pathology practice, highlighting histocompatibility assessment and pathologic review of tissues as areas that are evolving to incorporate next-generation technologies while emphasizing critical needs of the field. Summary Succ...
Source: Current Opinion in Organ Transplantation - July 30, 2020 Category: Surgery Tags: ARTIFICIAL INTELLIGENCE IN TRANSPLANTATION: Edited by Javier Briceño Source Type: research

Recent advances in precision medicine for individualized immunosuppression
Purpose of review The current tools to proactively guide and individualize immunosuppression in solid organ transplantation are limited. Despite continued improvements in posttransplant outcomes, the adverse effects of over-immunosuppression or under-immunosuppression are common. The present review is intended to highlight recent advances in individualized immunosuppression. Recent findings There has been a great focus on genomic information to predict drug dose requirements, specifically on single nucleotide polymorphisms of CYP3A5 and ABCB1. Furthermore, biomarker studies have developed ways to better predict clinic...
Source: Current Opinion in Organ Transplantation - July 30, 2020 Category: Surgery Tags: ARTIFICIAL INTELLIGENCE IN TRANSPLANTATION: Edited by Javier Briceño Source Type: research

The 2019 International Society of Urological Pathology (ISUP) Consensus Conference on Grading of Prostatic Carcinoma
Five years after the last prostatic carcinoma grading consensus conference of the International Society of Urological Pathology (ISUP), accrual of new data and modification of clinical practice require an update of current pathologic grading guidelines. This manuscript summarizes the proceedings of the ISUP consensus meeting for grading of prostatic carcinoma held in September 2019, in Nice, France. Topics brought to consensus included the following: (1) approaches to reporting of Gleason patterns 4 and 5 quantities, and minor/tertiary patterns, (2) an agreement to report the presence of invasive cribriform carcinoma, (3) ...
Source: The American Journal of Surgical Pathology - July 30, 2020 Category: Pathology Tags: Special Article Source Type: research

Machine learning for classification and prediction of brain diseases: recent advances and upcoming challenges
Purpose of review Machine learning is an artificial intelligence technique that allows computers to perform a task without being explicitly programmed. Machine learning can be used to assist diagnosis and prognosis of brain disorders. Although the earliest articles date from more than ten years ago, research increases at a very fast pace. Recent findings Recent works using machine learning for diagnosis have moved from classification of a given disease versus controls to differential diagnosis. Intense research has been devoted to the prediction of the future patient state. Although a lot of earlier works focused on n...
Source: Current Opinion in Neurology - July 30, 2020 Category: Neurology Tags: NEUROIMAGING: Edited by Stéphane Lehéricy Source Type: research

The role of pharmacokinetics and pharmacodynamics in clinical anaesthesia practice
Purpose of review Growing concerns about the environmental effects of volatile anaesthetics are likely to lead to increased use of intravenous anaesthetic drugs. Pharmacokinetic/pharmacodynamic (PKPD) models can increase the accuracy of intravenous drug titration, especially in populations that differ from the ‘average.’ However, with a growing number of PKPD models, and other technology available to date, it can be hard to see the wood for the trees. This review attempts to guide the reader through the PKPD jungle. Recent findings General purpose PKPD models for propofol and remifentanil designed to apply to a br...
Source: Current Opinion in Anaesthesiology - July 30, 2020 Category: Anesthesiology Tags: DRUGS IN ANESTHESIA: Edited by Eberhard F. Kochs Source Type: research

Partisan ideological attitudes: Liberals are tolerant; the intelligent are intolerant.
Abstract In this article we examine intolerance toward ideological outgroups, conceptualized as the negativity of the attitudes of liberals and conservatives toward their ideological outgroup. We show that conservatives are more ideologically intolerant than liberals and that the more intelligent are more ideologically intolerant than the less intelligent. We also show that the differences between liberals and conservatives and the differences between the more and less intelligent depend on ideological extremity: They are larger for extreme than for moderate ideologists. The implication of these results to questio...
Source: Journal of Personality and Social Psychology - July 30, 2020 Category: Psychiatry & Psychology Authors: Ganzach Y, Schul Y Tags: J Pers Soc Psychol Source Type: research

The ADHA Are Certainly Not The Only Ones That Get Carried Away With Digital Health Press Releases.
This excitable and exaggerated release appeared last week. RMIT Online and Digital Health CRC collaborate to revolutionise healthcare Published: 22 July 2020 Guest post by Staff Writers With technological advances disrupting and transforming health systems across the world, RMIT Online and the Digital Health Cooperative Research Centre (CRC) will deliver a suite of groundbreaking courses in digitally-enabled healthcare to enhance industry-led innovation and ensure Australia continues to be a global leader in delivery of best practice care. As increased demand and the COVID-19 pandemic put health systems worldwide under pre...
Source: Australian Health Information Technology - July 30, 2020 Category: Information Technology Authors: Dr David G More MB PhD Source Type: blogs

RapidAI achieves Rapid milestone
Artificial intelligence (AI) software developer RapidAI said that its Rapid...Read more on AuntMinnie.comRelated Reading: RapidAI gets FDA clearance for stroke imaging AI Life Image, RapidAI partner on stroke technology RapidAI launches AI analysis software RapidAI buys EndoVantage RapidAI debuts technology partner program, API
Source: Headlines - July 29, 2020 Category: Radiology Source Type: news

COVID-19 and Inflammatory Bowel Diseases: Risk Assessment, Shared Molecular Pathways, and Therapeutic Challenges.
Conclusions: Using the current understanding of SARS-CoV-2 as well as other pathogenic coronaviruses immunopathology, we showed why IBD patients should not be considered at an increased risk of infection or more severe outcomes. Whether our findings are entirely applicable to the pathogenesis, disease susceptibility, and treatment management of SARS-CoV-2 infection in IBD must be further explored. PMID: 32714386 [PubMed]
Source: Gastroenterology Research and Practice - July 29, 2020 Category: Gastroenterology Tags: Gastroenterol Res Pract Source Type: research

US officials: Russia behind spread of virus disinformation
U.S. officials say Russian intelligence officers are spreading disinformation about the coronavirus pandemic through English-language websites
Source: ABC News: Health - July 29, 2020 Category: Consumer Health News Tags: Health Source Type: news

Mastering the Violin Won ' t Help Your Child Master Math: Study
WEDNESDAY, July 29, 2020 -- All the parents who force their children to play an instrument because it has been touted as a way to boost overall intelligence, take note. New research now suggests that it may not help develop memory, math, reading...
Source: - Daily MedNews - July 29, 2020 Category: General Medicine Source Type: news

AI boosts MRI's performance for detecting liver lesions
An artificial intelligence (AI) algorithm improved MRI's performance when it...Read more on AuntMinnie.comRelated Reading: Deep learning detects HCC on contrast-enhanced MRI 3DR Labs, Resonance partner on AI for liver MRI Machine learning can help predict KRAS mutation status Ultrasound fusion software clears up liver biopsies Oxford spin-off prepares MRI liver software for market
Source: Headlines - July 29, 2020 Category: Radiology Source Type: news

Using AI with x-ray improves hip fracture diagnosis
Using an artificial intelligence (AI) deep convolutional neural network to...Read more on AuntMinnie.comRelated Reading: AI enables screening of fracture risk from CT scans 3D printing cuts hip fracture repair time, blood loss 3D DEXA enhances hip fracture risk prediction USPSTF reaffirms osteoporosis screening
Source: Headlines - July 29, 2020 Category: Radiology Source Type: news

Scientists using AI to benefit cancer patients
(Case Western Reserve University) Scientists are developing artificial intelligence (AI) tools to help surgeons and oncologists identify the subtle but critical differences between a recurring tumor and damaged non-cancerous tissue on post-operative MRI scans. The potential benefit for doctors and their patients: Fewer unnecessary surgeries to remove suspect tissue which now can only be confirmed to be non-cancerous after initial therapy.  
Source: EurekAlert! - Cancer - July 29, 2020 Category: Cancer & Oncology Source Type: news

Coronavirus live news: US deaths near 150,000 as Italy extends state of emergency
Trump blames US case surge on protestors; WHO warns pandemic is “one big wave”, not seasonal; Air travel not expected to recover until 2024. Follow the latest updatesCovid-19 still accelerating, warns WHO, as restrictions return in EuropeTwitter limits Donald Trump Jr ’s account for posting misinformationClapped out of ICU, dead days later: the secondary impact of Covid-19Outbreak in Xinjiang prompts fears of spread inside Uighur campsSee all our coronavirus coverage1.07amBSTFlorida reported another record one-day rise in coronavirus deaths on Tuesday, and cases in Texas passed the 400,000 mark, fueling fear that the...
Source: Guardian Unlimited Science - July 29, 2020 Category: Science Authors: Helen Sullivan Tags: Coronavirus outbreak World news UK news US news Australia news Science Infectious diseases Source Type: news

Consensus, Controversy, and Conversations About Gene Expression Profiling in Melanoma
Personalized medicine, which is clinical management tailored to the individual patient, is gaining increased attention in every specialty. Gene expression profiling (GEP) measures the levels of multiple genes in an individual ’s tumor and predicts a clinical outcome (eg, melanoma recurrence) based on advanced machine learning and artificial intelligence algorithms. Although not yet endorsed by the American Academy of Dermatology or the National Comprehensive Cancer Network, the use of GEP is increasing, with approximat ely 12 000 DecisionDx-Melanoma tests processed per year. As GEP tests penetrate the dermatology marke...
Source: JAMA Dermatology - July 29, 2020 Category: Dermatology Source Type: research

Sensors, Vol. 20, Pages 4228: Machine Learning Modelling and Feature Engineering in Seismology Experiment
This article aims to discusses machine learning modelling using a dataset provided by the LANL (Los Alamos National Laboratory) earthquake prediction competition hosted by Kaggle. The data were obtained from a laboratory stick-slip friction experiment that mimics real earthquakes. Digitized acoustic signals were recorded against time to failure of a granular layer compressed between steel plates. In this work, machine learning was employed to develop models that could predict earthquakes. The aim is to highlight the importance and potential applicability of machine learning in seismology The XGBoost algorithm was used for ...
Source: Sensors - July 29, 2020 Category: Biotechnology Authors: Michail Nikolaevich Brykov Ivan Petryshynets Catalin Iulian Pruncu Vasily Georgievich Efremenko Danil Yurievich Pimenov Khaled Giasin Serhii Anatolievich Sylenko Szymon Wojciechowski Tags: Article Source Type: research

IJERPH, Vol. 17, Pages 5451: A Meta-Analysis of Stressors from the Total Environment Associated with Children ’s General Cognitive Ability
IJERPH, Vol. 17, Pages 5451: A Meta-Analysis of Stressors from the Total Environment Associated with Children’s General Cognitive Ability International Journal of Environmental Research and Public Health doi: 10.3390/ijerph17155451 Authors: Frances M. Nilsen Jazmin D.C. Ruiz Nicolle S. Tulve General cognitive ability, often referred to as ‘general intelligence’, comprises a variety of correlated abilities. Childhood general cognitive ability is a well-studied area of research and can be used to predict social outcomes and perceived success. Early life stage (e.g., prenatal, postnat...
Source: International Journal of Environmental Research and Public Health - July 29, 2020 Category: Environmental Health Authors: Frances M. Nilsen Jazmin D.C. Ruiz Nicolle S. Tulve Tags: Review Source Type: research

Response Prediction to Neoadjuvant Chemoradiation in Esophageal Cancer Using Artificial Intelligence & Machine Learning
Condition:   Esophageal Neoplasm Interventions:   Radiation: Neo-Adjuvant Radiotherapy;   Drug: Neo-Adjuvant Chemotherapy;   Procedure: Esophagectomy Sponsor:   Dr Kundan Singh Chufal Active, not recruiting
Source: - July 28, 2020 Category: Research Source Type: clinical trials

Experiment on the Use of Innovative Computer Vision Technologies for Analysis of Medical Images in the Moscow Healthcare System
Conditions:   AI (Artificial Intelligence);   Mammary Cancer;   Lung Cancer;   X-Rays; Lesion Intervention:   Sponsor:   Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department Recruiting
Source: - July 28, 2020 Category: Research Source Type: clinical trials