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Variability and Standardization of Quantitative Imaging: Monoparametric to Multiparametric Quantification, Radiomics, and Artificial Intelligence
Radiological images have been assessed qualitatively in most clinical settings by the expert eyes of radiologists and other clinicians. On the other hand, quantification of radiological images has the potential to detect early disease that may be difficult to detect with human eyes, complement or replace biopsy, and provide clear differentiation of disease stage. Further, objective assessment by quantification is a prerequisite of personalized/precision medicine. This review article aims to summarize and discuss how the variability of quantitative values derived from radiological images are induced by a number of factors a...
Source: Investigative Radiology - August 14, 2020 Category: Radiology Tags: Review Article Source Type: research

Artificial Intelligence and Machine Learning in Radiology: Current State and Considerations for Routine Clinical Implementation
Although artificial intelligence (AI) has been a focus of medical research for decades, in the last decade, the field of radiology has seen tremendous innovation and also public focus due to development and application of machine-learning techniques to develop new algorithms. Interestingly, this innovation is driven simultaneously by academia, existing global medical device vendors, and—fueled by venture capital—recently founded startups. Radiologists find themselves once again in the position to lead this innovation to improve clinical workflows and ultimately patient outcome. However, although the end of today's radi...
Source: Investigative Radiology - August 14, 2020 Category: Radiology Tags: Review Article Source Type: research

Application of Artificial Intelligence in the Detection and Characterization of Colorectal Neoplasm.
Authors: Kim KO, Kim EY Abstract Endoscpists always have tried to pursue a perfect colonoscopy, and application of artificial intelligence (AI) using deep-learning algorithms is one of the promising supportive options for detection and characterization of colorectal polyps during colonoscopy. Many retrospective studies conducted with real-time application of AI using convolutional neural networks have shown improved colorectal polyp detection. Moreover, a recent randomized clinical trial reported additional polyp detection with shorter analysis time. Studies conducted regarding polyp characterization provided addit...
Source: Gut and Liver - August 14, 2020 Category: Gastroenterology Tags: Gut Liver Source Type: research

Analysis of clinical features and imaging signs of COVID-19 with the assistance of artificial intelligence.
CONCLUSIONS: The clinical and CT imaging features of COVID-19 patients were characteristic to a certain degree; thus, the clinical course and severity of COVID-19 could be evaluated with a combination of an analysis of clinical features and CT imaging features and assistant diagnosis by AI software. PMID: 32767351 [PubMed - in process]
Source: European Review for Medical and Pharmacological Sciences - August 14, 2020 Category: Drugs & Pharmacology Tags: Eur Rev Med Pharmacol Sci Source Type: research

The era of artificial intelligence and virtual reality: transforming surgical education in ophthalmology.
Abstract Training the modern ophthalmic surgeon is a challenging process. Microsurgical education can benefit from innovative methods to practice surgery in low-risk simulations, assess and refine skills in the operating room through video content analytics, and learn at a distance from experienced surgeons. Developments in emerging technologies may allow us to pursue novel forms of instruction and build on current educational models. Artificial intelligence, which has already seen numerous applications in ophthalmology, may be used to facilitate surgical tracking and evaluation. Within immersive technology, growt...
Source: The British Journal of Ophthalmology - August 14, 2020 Category: Opthalmology Authors: Bakshi SK, Lin SR, Ting DSW, Chiang MF, Chodosh J Tags: Br J Ophthalmol Source Type: research

Project DyAdd: Non-linguistic Theories of Dyslexia Predict Intelligence
Two themes have puzzled the research on developmental and learning disorders for decades. First, some of the risk and protective factors behind developmental challenges are suggested to be shared and some are suggested to be specific for a given condition. Second, language-based learning difficulties like dyslexia are suggested to result from or correlate with non-linguistic aspects of information processing as well. In the current study, we investigated how adults with developmental dyslexia or ADHD as well as healthy controls cluster across various dimensions designed to tap the prominent non-linguistic theories of dysle...
Source: Frontiers in Human Neuroscience - August 14, 2020 Category: Neuroscience Source Type: research

Risk prediction platform for pancreatic fistula after pancreatoduodenectomy using artificial intelligence.
CONCLUSION: This study is the first to predict POPF with multiple risk factors using AI. This platform is reliable (AUC 0.74), so it could be used to select patients who need especially intense therapy and to preoperatively establish an effective treatment strategy. PMID: 32874057 [PubMed - in process]
Source: World Journal of Gastroenterology : WJG - August 14, 2020 Category: Gastroenterology Authors: Han IW, Cho K, Ryu Y, Shin SH, Heo JS, Choi DW, Chung MJ, Kwon OC, Cho BH Tags: World J Gastroenterol Source Type: research

Artificial intelligence to support telemedicine in Africa.
Authors: Greis C, Maul LV, Hsu C, Djamei V, Schmid-Grendelmeier P, Navarini AA Abstract Telemedicine has been used in the daily routine of dermatologists for decades. The potential advantages are especially obvious in African countries having limited medical care, long geographical distances, and a meanwhile relatively well-developed telecommunication sector. National and international working groups support the establishment of teledermatological projects and in recent years have increasingly been using artificial intelligence (AI)-based technologies to support the local physicians. Ethnic variations represent a...
Source: Der Hautarzt: Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete - August 13, 2020 Category: Dermatology Tags: Hautarzt Source Type: research

Computer-assisted skin cancer diagnosis : Is it time for artificial intelligence in clinical practice?
CONCLUSIONS: In numerous studies, computer algorithms were able to detect pigmented and nonpigmented neoplasms of the skin with high precision, comparable to that of dermatologists. The combination of the physician's assessment and AI showed the best results. Computer-based diagnostic systems are widely accepted among patients and physicians. However, they are still not applicable in daily practice, since computer-based diagnostic systems have only been tested in an experimental environment. In addition, many digital diagnostic criteria that help AI to classify skin lesions remain unclear. This lack of transparency still n...
Source: Der Hautarzt: Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete - August 13, 2020 Category: Dermatology Tags: Hautarzt Source Type: research

Artificial intelligence-based classification of schizophrenia: A high density electroencephalographic and support vector machine study.
Conclusions: SVM-based classification and sub-classification of SCZ using EEG data is optimal and might help in improving the "validity" and reducing the "heterogeneity" in the diagnosis of SCZ. These results might only be generalized to acute and moderately ill male SCZ patients. PMID: 32773870 [PubMed]
Source: Indian Journal of Psychiatry - August 13, 2020 Category: Psychiatry Tags: Indian J Psychiatry Source Type: research

Rule-based automatic diagnosis of thyroid nodules from intraoperative frozen sections using deep learning
Publication date: August 2020Source: Artificial Intelligence in Medicine, Volume 108Author(s): Yuan Li, Pingjun Chen, Zhiyuan Li, Hai Su, Lin Yang, Dingrong Zhong
Source: Artificial Intelligence in Medicine - August 13, 2020 Category: Bioinformatics Source Type: research

Identification of Alzheimer's Disease Based on Wavelet Transformation Energy Feature of the Structural MRI Image and NN Classifier
Publication date: Available online 11 August 2020Source: Artificial Intelligence in MedicineAuthor(s): Jinwang Feng, Shao-Wu Zhang, Luonan Chen, for the Alzheimers Disease Neuroimaging Initiative
Source: Artificial Intelligence in Medicine - August 13, 2020 Category: Bioinformatics Source Type: research

GANs for Medical Image Analysis
Publication date: Available online 9 August 2020Source: Artificial Intelligence in MedicineAuthor(s): Salome Kazeminia, Christoph Baur, Arjan Kuijper, Bram van Ginneken, Nassir Navab, Shadi Albarqouni, Anirban Mukhopadhyay
Source: Artificial Intelligence in Medicine - August 13, 2020 Category: Bioinformatics Source Type: research

Handling Imbalanced Medical Image Data: A Deep-Learning-Based One-Class Classification Approach
Publication date: Available online 7 August 2020Source: Artificial Intelligence in MedicineAuthor(s): Long Gao, Lei Zhang, Chang Liu, Shandong Wu
Source: Artificial Intelligence in Medicine - August 13, 2020 Category: Bioinformatics Source Type: research

Can We Eliminate Waiting Times From Healthcare Forever?
Wake up early, get ready quickly, travel to the hospital while hoping to get there before others start lining up and wait till the doctor sees you. If you encountered any downtimes along the way to this “hospital journey maze”, you know you’ll be there for more time than planned. But you know the drill as it’s a quasi-global phenomenon and an expected component of the healthcare experience: waiting times. This component is as “pleasant” as it sounds. A survey from Software Advice that involved over 5000 patients found that 97% of respondents were frustrated by wait times at the doctor’s office. Another rep...
Source: The Medical Futurist - August 13, 2020 Category: Information Technology Authors: Prans Tags: Artificial Intelligence Healthcare Design waiting time Source Type: blogs

Artificial intelligence recognizes deteriorating photoreceptors
(University of Bonn) A software based on artificial intelligence (AI), which was developed by researchers at the Eye Clinic of the University Hospital Bonn, Stanford University and University of Utah, enables the precise assessment of the progression of geographic atrophy (GA), a disease of the light sensitive retina caused by age-related macular degeneration (AMD).
Source: EurekAlert! - Medicine and Health - August 13, 2020 Category: International Medicine & Public Health Source Type: news

Artificial intelligence in ophthalmology during COVID-19 and in the post COVID-19 era
Purpose of review To highlight artificial intelligence applications in ophthalmology during the COVID-19 pandemic that can be used to: describe ocular findings and changes correlated with COVID-19; extract information from scholarly articles on SARS-CoV-2 and COVID-19 specific to ophthalmology; and implement efficient patient triage and telemedicine care. Recent findings Ophthalmology has been leading in artificial intelligence and technology applications. With medical imaging analysis, pixel-annotated distinguishable features on COVID-19 patients may help with noninvasive diagnosis and severity outcome predictions. U...
Source: Current Opinion in Ophthalmology - August 13, 2020 Category: Opthalmology Tags: COVID19: Edited by Allen Chiang and Prithvi Mruthyunjaya Source Type: research

Associations of sleep with gray matter volume and their implications for academic achievement, executive function and intelligence in children with overweight/obesity
ConclusionsSleep behaviors are associated with GMV in multiple cortical regions including the right hippocampus in children with overweight/obesity, which in turn, were associated with academic achievement and IQ.
Source: Pediatric Obesity - August 13, 2020 Category: Eating Disorders & Weight Management Authors: Jairo H. Migueles, Cristina Cadenas ‐Sanchez, Irene Esteban‐Cornejo, Jose Mora‐Gonzalez, Maria Rodriguez‐Ayllon, Patricio Solis‐Urra, Kirk I. Erickson, Arthur F. Kramer, Charles H. Hillman, Andres Catena, Francisco B. Ortega Tags: ORIGINAL RESEARCH Source Type: research

Artificial Intelligence to Decode Cancer Mechanism: Beyond Patient Stratification for Precision Oncology
The multitude of multi-omics data generated cost-effectively using advanced high-throughput technologies has imposed challenging domain for research in Artificial Intelligence (AI). Data curation poses a significant challenge as different parameters, instruments, and sample preparations approaches are employed for generating these big data sets. AI could reduce the fuzziness and randomness in data handling and build a platform for the data ecosystem, and thus serve as the primary choice for data mining and big data analysis to make informed decisions. However, AI implication remains intricate for researchers/clinicians lac...
Source: Frontiers in Pharmacology - August 12, 2020 Category: Drugs & Pharmacology Source Type: research

The dark side of emotional intelligence: the role of gender and the Dark Triad in emotional manipulation at work
Conclusion: This study is the first to demonstrate that good emotional intelligence skills can facilitate undesirable workplace behaviours. Emotional manipulation is elevated in males with a relentless drive to achieve goals, and in females with broader deceptive tendencies.
Source: Australian Journal of Psychology - August 12, 2020 Category: Psychiatry & Psychology Authors: Jane Hyde, Rachel Grieve, Kimberley Norris, Nenagh Kemp Tags: ORIGINAL ARTICLE Source Type: research

Artificial Intelligence in Neuroradiology: Current Status and Future Directions WHITE PAPER
This article explores the reasons why neuroradiologists should care about the investments in new artificial intelligence applications, highlights current activities and the roles neuroradiologists are playing, and renders a few predictions regarding the near future of artificial intelligence in neuroradiology.
Source: American Journal of Neuroradiology - August 12, 2020 Category: Radiology Authors: Lui, Y. W., Chang, P. D., Zaharchuk, G., Barboriak, D. P., Flanders, A. E., Wintermark, M., Hess, C. P., Filippi, C. G. Tags: WHITE PAPER Source Type: research

MolAICal: a soft tool for 3D drug design of protein targets by artificial intelligence and classical algorithm.
Abstract Deep learning is an important branch of artificial intelligence that has been successfully applied into medicine and two-dimensional ligand design. The three-dimensional (3D) ligand generation in the 3D pocket of protein target is an interesting and challenging issue for drug design by deep learning. Here, the MolAICal software is introduced to supply a way for generating 3D drugs in the 3D pocket of protein targets by combining with merits of deep learning model and classical algorithm. The MolAICal software mainly contains two modules for 3D drug design. In the first module of MolAICal, it employs the g...
Source: Briefings in Bioinformatics - August 11, 2020 Category: Bioinformatics Authors: Bai Q, Tan S, Xu T, Liu H, Huang J, Yao X Tags: Brief Bioinform Source Type: research

Use of artificial intelligence in dermatology
This article presents an overview of AI and new developments relevant to dermatology, examining both its current applications and future potential.
Source: Indian Journal of Dermatology - August 11, 2020 Category: Dermatology Authors: Abhishek De Aarti Sarda Sachi Gupta Sudip Das Source Type: research

Artificial intelligence: How is it changing medical sciences and its future ?
Kanadpriya Basu, Ritwik Sinha, Aihui Ong, Treena BasuIndian Journal of Dermatology 2020 65(5):365-370 Artificially intelligent computer systems are used extensively in medical sciences. Common applications include diagnosing patients, end-to-end drug discovery and development, improving communication between physician and patient, transcribing medical documents, such as prescriptions, and remotely treating patients. While computer systems often execute tasks more efficiently than humans, more recently, state-of-the-art computer algorithms have achieved accuracies which are at par with human experts in the field of medical...
Source: Indian Journal of Dermatology - August 11, 2020 Category: Dermatology Authors: Kanadpriya Basu Ritwik Sinha Aihui Ong Treena Basu Source Type: research

Artificial Intelligence in plastic surgery: What is it? Where are we now? What is on the horizon?
We report current applications of AI in plastic surgery and possible future applications based on published literature and continuing scientific studies, and detail its potential limitations and ethical considerations. FINDINGS: Current machine learning models using convolutional neural networks can evaluate breast mammography and differentiate benign and malignant tumours as accurately as specialist doctors, and motion sensor surgical instruments can collate real-time data to advise intraoperative technical adjustments. Centralised big data portals are expected to collate large datasets to accelerate understanding of...
Source: Annals of the Royal College of Surgeons of England - August 11, 2020 Category: Surgery Authors: Murphy DC, Saleh DB Tags: Ann R Coll Surg Engl Source Type: research

Sensors, Vol. 20, Pages 4454: Intelligent Controller Design by the Artificial Intelligence Methods
With the rapid growth of sensor networks and the enormous, fast-growing volumes of data collected from these sensors, there is a question relating to the way it will be used, and not only collected and analyzed. The data from these sensors are traditionally used for controlling and influencing the states and processes. Standard controllers are available and successfully implemented. However, with the data-driven era we are facing nowadays, there is an opportunity to use controllers, which can include much information, elusive for common controllers. Our goal is to propose a design of an intelligent controller&amp...
Source: Sensors - August 10, 2020 Category: Biotechnology Authors: Jana Nowakov á Miroslav Pokorn ý Tags: Article Source Type: research

Cancers, Vol. 12, Pages 2211: The Use of Artificial Intelligence in the Differentiation of Malignant and Benign Lung Nodules on Computed Tomograms Proven by Surgical Pathology
Chung Benedict Lo The purpose of this work was to evaluate the performance of an existing commercially available artificial intelligence (AI) software system in differentiating malignant and benign lung nodules. The AI tool consisted of a vessel-suppression function and a deep-learning-based computer-aided-detection (VS-CAD) analyzer. Fifty patients (32 females, mean age 52 years) with 75 lung nodules (47 malignant and 28 benign) underwent low-dose computed tomography (LDCT) followed by surgical excision and the pathological analysis of their 75 nodules within a 3 month time frame. All 50 cases were then processed by t...
Source: Cancers - August 7, 2020 Category: Cancer & Oncology Authors: Yung-Liang Wan Pei-Kwei Tsay Kuang-Tse Pan Nguyen Ngoc Trang Patricia Wanping Wu Pei-Ching Huang Wen-Yu Chuang Ching-Yang Wu ShihChung Benedict Lo Tags: Article Source Type: research

Welcome to Channel g. Dr. Andrew Conway on Intelligence. Stay tuned
Welcome to Channel g https://www.psychologytoday.com/us/blog/channel-g/202008/welcome-channel-g****************************************** Kevin S. McGrew, PhD Educational& School Psychologist Director Institute for Applied Psychometrics (IAP)https://www.themindhub.com ******************************************
Source: Intelligent Insights on Intelligence Theories and Tests (aka IQ's Corner) - August 6, 2020 Category: Neuroscience Source Type: blogs

Artificial Intelligence Applications to Improve Risk Prediction Tools in Electrophysiology
AbstractPurpose of ReviewArtificial intelligence (AI) is an aspect of computer technology that imitates the ability of the human mind to analyze data. Over the last few years, there has been a paradigm shift in the utilization of AI in clinical practice. It is imperative for the clinical electrophysiologist to understand the basics of AI, and its potential applications in the field as new applications are developed and implemented.Recent FindingsMultiple investigators have demonstrated various AI algorithms that can be utilized in clinical care. These include applications such as electronic stethoscopes and electrocardiogr...
Source: Current Cardiovascular Risk Reports - August 6, 2020 Category: Cardiology Source Type: research

Domain expertise–agnostic feature selection for the analysis of breast cancer data*
Publication date: August 2020Source: Artificial Intelligence in Medicine, Volume 108Author(s): Susanna Pozzoli, Amira Soliman, Leila Bahri, Rui Mamede Branca, Sarunas Girdzijauskas, Marco Brambilla
Source: Artificial Intelligence in Medicine - August 5, 2020 Category: Bioinformatics Source Type: research

Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists
Modern Pathology, Published online: 05 August 2020; doi:10.1038/s41379-020-0640-yArtificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists
Source: Modern Pathology - August 5, 2020 Category: Pathology Authors: Wouter Bulten Maschenka Balkenhol Jean-Jo ël Awoumou Belinga Am érico Brilhante Asl ı Çakır Lars Egevad Martin Eklund Xavier Farr é Katerina Geronatsiou Vincent Molini é Guilherme Pereira Paromita Roy G ünter Saile Paulo Salles Ewout Schaafsma Jo Source Type: research

Integrated Intelligence from Distributed Brain Activity.
Abstract How does organized cognition arise from distributed brain activity? Recent analyses of fluid intelligence suggest a core process of cognitive focus and integration, organizing the components of a cognitive operation into the required computational structure. A cortical 'multiple-demand' (MD) system is closely linked to fluid intelligence, and recent imaging data define nine specific MD patches distributed across frontal, parietal, and occipitotemporal cortex. Wide cortical distribution, relative functional specialization, and strong connectivity suggest a basis for cognitive integration, matching electrop...
Source: Trends Cogn Sci - August 5, 2020 Category: Neuroscience Authors: Duncan J, Assem M, Shashidhara S Tags: Trends Cogn Sci Source Type: research

Ethical considerations for artificial intelligence: an overview of the current radiology landscape.
Abstract Artificial intelligence (AI) has great potential to accelerate scientific discovery in medicine and to transform healthcare. In radiology, AI is about to enter into clinical practice and has a wide range of applications covering the whole diagnostic workflow. However, AI applications are not smooth sailing. It is crucial to understand the potential risks and hazards that come with this new technology. We have to implement AI in the best possible way to reflect the time-honored ethical and legal standards while ensuring the adequate protection of patient interests. These issues are discussed under the ligh...
Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology - August 5, 2020 Category: Radiology Authors: D'Antonoli TA Tags: Diagn Interv Radiol Source Type: research

The mediating role of emotional intelligence in the relationship between the fear of missing out in social environments (FoMO) and depression - Kartol A, G ündoğan S.
This study sets out to explore whether emotional intelligence has a mediating role in the relationship between fear of missing out in social environments (FoMO) and the depression among university students. The study group consisted of 370 (200 female and ...
Source: SafetyLit - August 4, 2020 Category: International Medicine & Public Health Tags: Age: Adolescents Source Type: news

RECOMIA —a cloud-based platform for artificial intelligence research in nuclear medicine and radiology
Artificial intelligence (AI) is about to transform medical imaging. The Research Consortium for Medical Image Analysis (RECOMIA), a not-for-profit organisation, has developed an online platform to facilitate c...
Source: EJNMMI Physics - August 4, 2020 Category: Radiology Authors: Elin Tr ägårdh, Pablo Borrelli, Reza Kaboteh, Tony Gillberg, Johannes Ulén, Olof Enqvist and Lars Edenbrandt Tags: Original research Source Type: research

Artificial Intelligence (AI) Assisted CT/MRI Image Fusion Technique in Preoperative Evaluation of a Pelvic Bone Osteosarcoma
Surgeries of pelvic bone tumors are very challenging due to the complexity of anatomical structures and the irregular bone shape. CT and MRI are used in clinic for tumor evaluation, each with its own advantages and shortcomings. Combining the data of both CT and MRI images would take advantage of the merits of both images and provide better model for preoperative evaluation. We utilized an artificial intelligence (AI)-assisted CT/MRI image fusion technique and built a personalized 3-D model for preoperative tumor margin assessment. A young female patient with pelvic osteosarcoma was evaluated with our novel image fusion 3-...
Source: Frontiers in Oncology - August 4, 2020 Category: Cancer & Oncology Source Type: research

Deep learning to find colorectal polyps in colonoscopy: a systematic literature review
Publication date: Available online 1 August 2020Source: Artificial Intelligence in MedicineAuthor(s): Luisa F. Sánchez-Peralta, Luis Bote-Curiel, Artzai Picón, Francisco M. Sánchez-Margallo, J. Blas Pagador
Source: Artificial Intelligence in Medicine - August 3, 2020 Category: Bioinformatics Source Type: research

Cadmium and copper heavy metal treatment from water resources by high-performance folic acid-graphene oxide nanocomposite adsorbent and evaluation of adsorptive mechanism using computational intelligence, isotherm, kinetic, and thermodynamic analyses.
In this study, the equilibrium of adsorption is appraised by two (Langmuir and Freundlich and Temkin and D-R models) and three parameter (Sips, Toth, and Khan models) isotherms. Based on the two parameter evaluations, Langmuir and Freundlich models have high accuracy according to the R2 coefficient (more than 0.9) in experimental curve fittings of each pollutant adsorption. But, multilayer adsorption of each contaminant onto the FA-GO adsorbent (Freundlich equation) is demonstrated by three parameter isotherm analysis. Also, isotherm calculations express maximum computational adsorption capacities of 103.1 and 116.3 mg g-1...
Source: Environmental Science and Pollution Research International - August 3, 2020 Category: Environmental Health Authors: Eftekhari M, Akrami M, Gheibi M, Azizi-Toupkanloo H, Fathollahi-Fard AM, Tian G Tags: Environ Sci Pollut Res Int Source Type: research

Genetically determined intelligence and coronary artery disease risk
ConclusionGenetic components of intelligence affect measured intelligence and educational attainment, which subsequently affect the prevalence of CAD via a series of unfavorable risk factor profiles.Graphic abstract
Source: Clinical Research in Cardiology - August 2, 2020 Category: Cardiology Source Type: research

This Major Personality Trait Indicates High IQ
People with this personality type have 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 - August 1, 2020 Category: Psychiatry & Psychology Authors: Jeremy Dean Tags: Intelligence Source Type: blogs

GPT-3: an AI game-changer or an environmental disaster? | John Naughton
The tech giants ’ latest machine-learning system comes with both ethical and environmental costsUnless you ’ve been holidaying on Mars, or perhaps in Spain (alongside the transport secretary), you may have noticed some fuss on social media about something calledGPT-3. The GPT bit stands for the “generative pre-training” of a language model that acquires knowledge of the world by “reading” enormous quantities of written text. The “3” indicates that this is the third generation of the system.GPT-3 is a product ofOpenAI, an artificial intelligence research lab based in San Francisco. In essence, it ’s a mach...
Source: Guardian Unlimited Science - August 1, 2020 Category: Science Authors: John Naughton Tags: Artificial intelligence (AI) Science Technology Computing UK news Source Type: news

Applying Artificial Intelligence to Mitigate Effects of Patient Motion or Other Complicating Factors on Image Quality
Artificial intelligence, particularly deep learning, offers several possibilities to improve the quality or speed of image acquisition in magnetic resonance imaging (MRI). In this article, we briefly review basic machine learning concepts and discuss commonly used neural network architectures for image-to-image translation. Recent examples in the literature describing application of machine learning techniques to clinical MR image acquisition or postprocessing are discussed. Machine learning can contribute to better image quality by improving spatial resolution, reducing image noise, and removing undesired motion or other ...
Source: Topics in Magnetic Resonance Imaging - August 1, 2020 Category: Radiology Tags: Review Articles Source Type: research

The Future of Artificial Intelligence in International Healthcare: Three Indices for Integrating Technology, Productivity, Anti-Corruption and Healthcare Interaction Around the World
Julia M. Puaschunder (Harvard University), The Future of Artificial Intelligence in International Healthcare: Three Indices for Integrating Technology, Productivity, Anti-Corruption and Healthcare Interaction Around the World, J. Applied Research in the Digital Economy (2020): The currently ongoing COVID-19 crisis has...
Source: HealthLawProf Blog - August 1, 2020 Category: Medical Law Authors: Katharine Van Tassel Source Type: blogs

Artificial Intelligence: What Is It and How Can It Expand the  Ultrasound Potential in the Future?
Artificial Intelligence: What Is It and How Can It Expand the Ultrasound Potential in the Future? Ultraschall Med. 2020 Aug;41(4):356-360 Authors: Cantisani V, Grani G, Tovoli F, Piscaglia F, Catalano C PMID: 32750719 [PubMed - as supplied by publisher]
Source: Ultraschall in der Medizin - August 1, 2020 Category: Radiology Authors: Cantisani V, Grani G, Tovoli F, Piscaglia F, Catalano C Tags: Ultraschall Med Source Type: research

Development of prognostic model for patients at CKD stage 3a and 3b in South Central China using computational intelligence
ConclusionsCSM could be used as a point-of-care test to screen patients at high risk for disease progression, might allowing individualized therapeutic management.
Source: Clinical and Experimental Nephrology - August 1, 2020 Category: Urology & Nephrology Source Type: research

Utility of Artificial Intelligence Amidst the COVID 19 Pandemic: A Review
AbstractThe term machine learning refers to a collection of tools used for identifying patterns in data. As opposed to traditional methods of pattern identification, machine learning tools relies on artificial intelligence to map out patters from large amounts of data, can self-improve as and when new data becomes available and is quicker in accomplishing these tasks. This review describes various techniques of machine learning that have been used in the past in the prediction, detection and management of infectious diseases, and how these tools are being brought into the battle against COVID-19. In addition, we also discu...
Source: Journal of Medical Systems - August 1, 2020 Category: Information Technology Source Type: research

Sensors, Vol. 20, Pages 4283: goFOODTM: An Artificial Intelligence System for Dietary Assessment
a Mougiakakou Accurate estimation of nutritional information may lead to healthier diets and better clinical outcomes. We propose a dietary assessment system based on artificial intelligence (AI), named goFOODTM. The system can estimate the calorie and macronutrient content of a meal, on the sole basis of food images captured by a smartphone. goFOODTM requires an input of two meal images or a short video. For conventional single-camera smartphones, the images must be captured from two different viewing angles; smartphones equipped with two rear cameras require only a single press of the shutter button. The deep neural ...
Source: Sensors - July 31, 2020 Category: Biotechnology Authors: Ya Lu Thomai Stathopoulou Maria F. Vasiloglou Lillian F. Pinault Colleen Kiley Elias K. Spanakis Stavroula Mougiakakou Tags: Article Source Type: research

Emotional intelligence and eating disorders: a systematic review.
CONCLUSION: The systematic review suggests promising but challenging preliminary evidence of the associations between EI and the dimensions of ED across diverse stages of development. In addition, future research, practical implications and limitations are discussed. LEVEL OF EVIDENCE I: Systematic review. PMID: 32734465 [PubMed - as supplied by publisher]
Source: Eating and weight disorders : EWD - July 31, 2020 Category: Eating Disorders & Weight Management Authors: Romero-Mesa J, Peláez-Fernández MA, Extremera N Tags: Eat Weight Disord Source Type: research

Sensors, Vol. 20, Pages 4283: goFOODTM : An Artificial Intelligence System for Dietary Assessment
a Mougiakakou Accurate estimation of nutritional information may lead to healthier diets and better clinical outcomes. We propose a dietary assessment system based on artificial intelligence (AI), named goFOODTM . The system can estimate the calorie and macronutrient content of a meal, on the sole basis of food images captured by a smartphone. goFOODTM requires an input of two meal images or a short video. For conventional single-camera smartphones, the images must be captured from two different viewing angles; smartphones equipped with two rear cameras require only a single press of the shutter button. The deep neural...
Source: Sensors - July 31, 2020 Category: Biotechnology Authors: Ya Lu Thomai Stathopoulou Maria F. Vasiloglou Lillian F. Pinault Colleen Kiley Elias K. Spanakis Stavroula Mougiakakou Tags: Article Source Type: research

Artificial intelligence and smartphone program applications (Apps) : Relevance for dermatological practice.
Authors: Blum A, Bosch S, Haenssle HA, Fink C, Hofmann-Wellenhof R, Zalaudek I, Kittler H, Tschandl P Abstract ADVANTAGES OF ARTIFICIAL INTELLIGENCE (AI): With responsible, safe and successful use of artificial intelligence (AI), possible advantages in the field of dermato-oncology include the following: (1) medical work can focus on skin cancer patients, (2) patients can be more quickly and effectively treated despite the increasing incidence of skin cancer and the decreasing number of actively working dermatologists and (3) users can learn from the AI results. POTENTIAL DISADVANTAGES AND RISKS OF AI USE: (1) Lack...
Source: Der Hautarzt: Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete - July 30, 2020 Category: Dermatology Tags: Hautarzt Source Type: research