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TeraRecon launches subscription AI model
Advanced visualization and artificial intelligence (AI) software developer...Read more on AuntMinnie.comRelated Reading: TeraRecon adopts Eureka branding for AI offerings TeraRecon adds to executive lineup TeraRecon unveils lung density analysis for COVID-19 TeraRecon acquired by AI group SymphonyAI TeraRecon lands 2 patents for AI technology
Source: AuntMinnie.com Headlines - August 28, 2020 Category: Radiology Source Type: news

Job Demands-Resources theory and self-regulation: new explanations and remedies for job burnout.
Conclusion: The proposed model of burnout expands JD-R theory and offers important practical implications for the prevention and reduction of burnout. PMID: 32856957 [PubMed - as supplied by publisher]
Source: Anxiety, Stress, and Coping - August 28, 2020 Category: Psychiatry & Psychology Authors: Bakker AB, de Vries JD Tags: Anxiety Stress Coping Source Type: research

Comparing and Predicting Public Attitudes Toward Stuttering, Obesity, and Mental Illness.
Conclusions Stuttering is regarded as less stigmatizing than mental illness but more stigmatizing than obesity. Additionally, positivity toward one condition results in limited positivity toward the others. Impressions and knowledge of-as well as experience with-stigmatized conditions can inform public awareness campaigns and individual clinical programs dealing with stigma. Supplemental Material https://doi.org/10.23641/asha.12860939. PMID: 32857617 [PubMed - as supplied by publisher]
Source: American Journal of Speech-Language Pathology - August 28, 2020 Category: Speech-Language Pathology Authors: St Louis KO Tags: Am J Speech Lang Pathol Source Type: research

WAIS-III measurement invariance: Data from Estonian standardization.
DISCUSSION: The results of this study provide evidence that the structural model underlying the Estonian adaption of WAIS-III is partially invariant across sex and age groups, hence the test functions same manner across these groups. Estonian WAIS-III was not invariant across the educational levels, which may indicate that the measure has a different structure or meaning to different educational groups. PMID: 32856515 [PubMed - as supplied by publisher]
Source: The Clinical Neuropsychologist - August 28, 2020 Category: Psychiatry & Psychology Authors: Anni K, Käärik M, Mõttus R Tags: Clin Neuropsychol Source Type: research

With Hurricane Laura Hammering the Gulf, Why Are U.S. Energy Markets So Calm?
Scott LincicomeAn increasingly common refrain in Washington these days is that America ' s liberalized financial markets and trade policies have made the U.S. economyless resilient to pandemics, wars, or other major shocks, and that more regulation is needed to ensure that Americans have access to essential goods at these perilous times. Hurricane Laura ' s muted impact on U.S. energy markets, however, provides a clear lesson that " openness " and " resiliency " are not mutually exclusive, and in fact that freer markets can actually reduce U.S. vulnerability to economic shocks.As Laura makes landfall, theWall Street Journa...
Source: Cato-at-liberty - August 27, 2020 Category: American Health Authors: Scott Lincicome Source Type: blogs

Patient Safety: Considerations for Artificial Intelligence Implementation in Radiology
Publication date: Available online 27 August 2020Source: Journal of the American College of RadiologyAuthor(s): Howard B. Fleishon, Christoph Wald
Source: Journal of the American College of Radiology - August 27, 2020 Category: Radiology Source Type: research

Personalized Digital Health and Artificial Intelligence in Childhood Asthma
Condition:   Asthma in Children Intervention:   Sponsor:   Isabelle Ruchonnet-Métrailler Recruiting
Source: ClinicalTrials.gov - August 27, 2020 Category: Research Source Type: clinical trials

Artificial Intelligence Is Still Far from Truly Revolutionizing Plastic Surgery
No abstract available
Source: Plastic and Reconstructive Surgery - August 27, 2020 Category: Cosmetic Surgery Tags: Viewpoints Source Type: research

Role of Simulation and Artificial Intelligence in Plastic Surgery Training
No abstract available
Source: Plastic and Reconstructive Surgery - August 27, 2020 Category: Cosmetic Surgery Tags: Viewpoints Source Type: research

Comparison of Neurocognitive Outcomes in Postoperative Adolescents with Unilateral Coronal Synostosis
Summary: Unilateral coronal nonsyndromic craniosynostosis is associated with asymmetric skull growth, which may influence cerebral long-term function. Twenty affected adolescents who underwent cranial vault remodeling at a mean age of 8.2 months (12 from the Yale Craniofacial Clinic and eight from the Children’s Hospital of Philadelphia) all completed a double-blinded neurodevelopmental assessment at an average age of 12.1 years. The study cohort included 55 percent female and 50 percent right-sided craniosynostosis. Mean verbal intelligence quotient was highest at 117.3, and mean performance intelligence quotient was ...
Source: Plastic and Reconstructive Surgery - August 27, 2020 Category: Cosmetic Surgery Tags: Pediatric/Craniofacial: Ideas and Innovations Source Type: research

What Parents Should Know About Digital Health
A recent report titled “Digital Health Generation” found that more than 70% of young people are using apps, YouTube videos and other digital technologies such as Fitbits to track and manage their health. This includes children as young as eight years old. While it’s encouraging to see the younger generation adopt digital health solutions at such a young age, there are certain aspects of this adoption that they and their parents must take into consideration. “Over recent years there has been a surge of new online apps, blogs and videos specifically targeting young people with messages about personal improvement i...
Source: The Medical Futurist - August 27, 2020 Category: Information Technology Authors: Prans Tags: Health Sensors & Trackers Healthcare Policy Security & Privacy digital health kids fitness trackers data privacy Source Type: blogs

AI accurately identifies infants with low risk of serious bacterial infection
(Ann& Robert H. Lurie Children's Hospital of Chicago) Artificial intelligence, or 'supervised machine learning,' could help identify which well-appearing infants with fever, who are 60 days old or younger, are at low risk for a serious bacterial infection, according to a study published in Pediatrics. Accurate risk determination could reduce unnecessary lumbar puncture, antibiotics and hospitalizations for these infants, as well as decreasing parental anxiety.
Source: EurekAlert! - Medicine and Health - August 27, 2020 Category: International Medicine & Public Health Source Type: news

All that glitters is not gold: Misuse of AI by big tech can harm developing countries
(Qatar University, College of Law) The debate on the risks and benefits of Artificial Intelligence (AI) is still ongoing, but one thing is certain: without appropriate regulatory measures, AI is potentially dangerous. A recent study explores how AI can be a threat to the society, especially developing nations, if left unregulated. The study also talks about why AI should comply with the Sustainable Development Goals set by the United Nations, to ensure that it benefits the society as a whole.
Source: EurekAlert! - Social and Behavioral Science - August 27, 2020 Category: International Medicine & Public Health Source Type: news

Unravelling the potential of the unconscious mind
(ATR Brain Information Communication Research Laboratory Group) By using a combination of artificial intelligence and brain imaging technology, researchers have discovered that humans can be trained to rationally use the unconscious contents of their mental processes. The study, published in the journal Nature Communications, could open the way to important new approaches in neuroscience and artificial intelligence, but also lead to novel applications in clinical, educational or social settings.
Source: EurekAlert! - Social and Behavioral Science - August 27, 2020 Category: International Medicine & Public Health Source Type: news

AI as good as the average radiologist in identifying breast cancer
(Karolinska Institutet) Researchers at Karolinska Institutet and Karolinska University Hospital in Sweden have compared the ability of three different artificial intelligence (AI) algorithms to identify breast cancer based on previously taken mammograms. The best algorithm proved to be as accurate as the average radiologist. The results, published in JAMA Oncology, may lead the way in reorganising breast cancer screening for the future.
Source: EurekAlert! - Cancer - August 27, 2020 Category: Cancer & Oncology Source Type: news

100 most-cited articles on diabetic retinopathy.
Abstract Diabetic retinopathy (DR) research has had significant advancements over the past decades. We analysed the impact and characteristics of the top 100 (T100) most-cited articles in DR research. The Scopus database was searched for articles published from 1960 to June 2020 by two independent investigators. The T100 DR articles were published between 1961 and 2017 with median citations of 503 (range: 306-20 100); 84% were published after 1990. More than half (59%) were published in general medical/diabetes journals while 37% in ophthalmology journals. The top six journals contributed to 56% of the T100: Opht...
Source: The British Journal of Ophthalmology - August 27, 2020 Category: Opthalmology Authors: Koh BMQR, Banu R, Nusinovici S, Sabanayagam C Tags: Br J Ophthalmol Source Type: research

Application of artificial intelligence using a novel eus-based convolutional neural network model to identify and distinguish benign from malignant hepatic masses
Detection and characterization of focal liver lesions (FLLs) is key for optimizing treatment for patients who may have a primary hepatic cancer or metastatic disease to the liver. This is the first study to develop an endoscopic ultrasound (EUS)-based convolutional neural network (CNN) model for the purpose of identifying and classifying FLLs.
Source: Gastrointestinal Endoscopy - August 27, 2020 Category: Gastroenterology Authors: Neil B. Marya, Patrick D. Powers, Larissa Fujii-Lau, Barham Abu Dayyeh, Ferga C. Gleeson, Shigao Chen, Zaiyang Long, David Hough M, Vinay Chandrasekhara, Prasad Iyer, Elizabeth Rajan, William Sanchez, Tarek Sawas, Andrew Storm, Kenneth K. Wang, Michael J. Source Type: research

Fetal-placental blood flow and neurodevelopment in childhood: a population-based neuroimaging study.
CONCLUSION: Higher placental vascular resistance may have mild adverse effects on neurodevelopmental outcomes in school-age. While these effects are subtle at the population-level, we encourage future research into the role of early circulation in brain development. This could be used to develop targeted interventions. This article is protected by copyright. All rights reserved. PMID: 32851732 [PubMed - as supplied by publisher]
Source: The Ultrasound Review of Obstetrics and Gynecology - August 27, 2020 Category: Radiology Authors: Sammallahti S, Tiemeier H, Louwen S, Steegers E, Hillegers M, Jaddoe VWV, White T Tags: Ultrasound Obstet Gynecol Source Type: research

FY21 NDAA: Dual-Use Technology Proposals
The House and Senate versions of the fiscal year 2021 National Defense Authorization Act propose numerous provisions aimed at increasing U.S. competitiveness in commercial technologies that have important national security applications, including microelectronics, artificial intelligence, 5G telecommunications, and advanced nuclear reactors.
Source: FYI: The AIP Bulletin of Science Policy News - August 26, 2020 Category: Physics Authors: wthomas Source Type: news

Artificial Intelligence Is Here To Calm Your Road Rage
I am behind the wheel of a Nissan Leaf, circling a parking lot, trying not to let the day’s nagging worries and checklists distract me to the point of imperiling pedestrians. Like all drivers, I am unwittingly communicating my stress to this vehicle in countless subtle ways: the strength of my grip on the steering wheel, the slight expansion of my back against the seat as I breathe, the things I mutter to myself as I pilot around cars and distracted pedestrians checking their phones in the parking lot. “Hello, Corinne,” a calm voice says from the audio system. “What’s stressing you out right n...
Source: TIME: Science - August 26, 2020 Category: Science Authors: Corinne Purtill Tags: Uncategorized Source Type: news

Artificial Intelligence in Medicine: The Future Is Now
Advancements in technology and artificial intelligence designed to aid rheumatologists in diagnosing patients and predicting mortality risk were discussed in depth during a session of the European e-Congress of Rheumatology...
Source: The Rheumatologist - August 26, 2020 Category: Rheumatology Authors: Jason Liebowitz, MD Tags: AI artificial intelligence data EULAR 2020 e-CONGRESS machine learning Source Type: research

University of Illinois to lead two of seven new national artificial intelligence institutes
(University of Illinois at Urbana-Champaign, News Bureau) The National Science Foundation and the U.S. Department of Agriculture's National Institute of Food and Agriculture are announcing an investment of more than $140 million to establish seven artificial intelligence institutes in the U.S. Two of the seven will be led by teams at the University of Illinois, Urbana-Champaign
Source: EurekAlert! - Biology - August 26, 2020 Category: Biology Source Type: news

Carnegie Mellon named NSF planning institute for artificial intelligence in physics
(Carnegie Mellon University) Carnegie Mellon University has received a $500,000 planning grant from the National Science Foundation (NSF) to work toward creating a National Artificial Intelligence Research Institute in Physics.
Source: EurekAlert! - Biology - August 26, 2020 Category: Biology Source Type: news

Application of artificial intelligence for the prediction of health examination results of workers: a pilot study.
PMID: 32848113 [PubMed - as supplied by publisher]
Source: Sangyo Eiseigaku Zasshi : Journal of Occupational Health - August 26, 2020 Category: Occupational Health Authors: Uchida M, Tsutsui Y, Noshita K, Koyama H Tags: Sangyo Eiseigaku Zasshi Source Type: research

Patient Safety: Considerations for Artificial Intelligence Implementation in Radiology
Artificial intelligence (AI) will increasingly become an integral part of our personal and professional lives. For perspective, AI is estimated to contribute $13 trillion to the world economy over the next decade on a commercial basis [1]. The total market for AI-powered solutions across the health care spectrum (eg, treatment, health care data processing, pharma) may grow to $35 billion by 2025 [2]. In a recent survey of radiologists by the European Society of Radiology, 100% of respondents believe that radiologists need to be involved in AI development and validation [3].
Source: Journal of the American College of Radiology : JACR - August 26, 2020 Category: Radiology Authors: Howard B. Fleishon, Christoph Wald Tags: ACR Chair ’s Memo Source Type: research

Multimodal imaging and evaluation in the age of artificial intelligence.
Abstract Multimodal imaging is able to image the retina in unprecedented detail, and the joint analysis (integration) of these data not only enables the securing of diagnoses, but also a more precise definition; however, humans encounter temporal and cognitive limitations in the analysis of this amount of information, so that the potential of a joint examination of the findings is largely unused to date. Automatic image processing and methods, which are summarized under the collective term of artificial intelligence (AI), are able to overcome the bottleneck in the evaluation and to exploit the full potential of t...
Source: Der Ophthalmologe - August 26, 2020 Category: Opthalmology Authors: Morelle O, Wintergerst M, Finger RP Tags: Ophthalmologe Source Type: research

Accelerating ophthalmic artificial intelligence research: the role of an open access data repository
Purpose of review Artificial intelligence has already provided multiple clinically relevant applications in ophthalmology. Yet, the explosion of nonstandardized reporting of high-performing algorithms are rendered useless without robust and streamlined implementation guidelines. The development of protocols and checklists will accelerate the translation of research publications to impact on patient care. Recent findings Beyond technological scepticism, we lack uniformity in analysing algorithmic performance generalizability, and benchmarking impacts across clinical settings. No regulatory guardrails have been set to m...
Source: Current Opinion in Ophthalmology - August 13, 2020 Category: Opthalmology Tags: ARTIFICIAL INTELLIGENCE IN RETINA: Edited by Judy E. Kim and Ehsan Rahimy Source Type: research

Interpretation of artificial intelligence studies for the ophthalmologist
Purpose of review The use of artificial intelligence (AI) in ophthalmology has increased dramatically. However, interpretation of these studies can be a daunting prospect for the ophthalmologist without a background in computer or data science. This review aims to share some practical considerations for interpretation of AI studies in ophthalmology. Recent findings It can be easy to get lost in the technical details of studies involving AI. Nevertheless, it is important for clinicians to remember that the fundamental questions in interpreting these studies remain unchanged – What does this study show, and how does t...
Source: Current Opinion in Ophthalmology - August 13, 2020 Category: Opthalmology Tags: ARTIFICIAL INTELLIGENCE IN RETINA: Edited by Judy E. Kim and Ehsan Rahimy Source Type: research

Artificial intelligence for diabetic retinopathy screening, prediction and management
Purpose of review Diabetic retinopathy is the most common specific complication of diabetes mellitus. Traditional care for patients with diabetes and diabetic retinopathy is fragmented, uncoordinated and delivered in a piecemeal nature, often in the most expensive and high-resource tertiary settings. Transformative new models incorporating digital technology are needed to address these gaps in clinical care. Recent findings Artificial intelligence and telehealth may improve access, financial sustainability and coverage of diabetic retinopathy screening programs. They enable risk stratifying patients based on individua...
Source: Current Opinion in Ophthalmology - August 13, 2020 Category: Opthalmology Tags: ARTIFICIAL INTELLIGENCE IN RETINA: Edited by Judy E. Kim and Ehsan Rahimy Source Type: research

Fundamentals of artificial intelligence for ophthalmologists
Purpose of review As artificial intelligence continues to develop new applications in ophthalmic image recognition, we provide here an introduction for ophthalmologists and a primer on the mechanisms of deep learning systems. Recent findings Deep learning has lent itself to the automated interpretation of various retinal imaging modalities, including fundus photography and optical coherence tomography. Convolutional neural networks (CNN) represent the primary class of deep neural networks applied to these image analyses. These have been configured to aid in the detection of diabetes retinopathy, AMD, retinal detachmen...
Source: Current Opinion in Ophthalmology - August 13, 2020 Category: Opthalmology Tags: ARTIFICIAL INTELLIGENCE IN RETINA: Edited by Judy E. Kim and Ehsan Rahimy Source Type: research

Artificial intelligence for retinopathy of prematurity
Purpose of review In this article, we review the current state of artificial intelligence applications in retinopathy of prematurity (ROP) and provide insight on challenges as well as strategies for bringing these algorithms to the bedside. Recent findings In the past few years, there has been a dramatic shift from machine learning approaches based on feature extraction to ‘deep’ convolutional neural networks for artificial intelligence applications. Several artificial intelligence for ROP approaches have demonstrated adequate proof-of-concept performance in research studies. The next steps are to determine whethe...
Source: Current Opinion in Ophthalmology - August 13, 2020 Category: Opthalmology Tags: ARTIFICIAL INTELLIGENCE IN RETINA: Edited by Judy E. Kim and Ehsan Rahimy Source Type: research

Big data requirements for artificial intelligence
Purpose of review To summarize how big data and artificial intelligence technologies have evolved, their current state, and next steps to enable future generations of artificial intelligence for ophthalmology. Recent findings Big data in health care is ever increasing in volume and variety, enabled by the widespread adoption of electronic health records (EHRs) and standards for health data information exchange, such as Digital Imaging and Communications in Medicine and Fast Healthcare Interoperability Resources. Simultaneously, the development of powerful cloud-based storage and computing architectures supports a fert...
Source: Current Opinion in Ophthalmology - August 13, 2020 Category: Opthalmology Tags: ARTIFICIAL INTELLIGENCE IN RETINA: Edited by Judy E. Kim and Ehsan Rahimy Source Type: research

Controversies in artificial intelligence
Purpose of review To review four recent controversial topics arising from deep learning applications in ophthalmology. Recent findings The controversies of four recent topics surrounding deep learning applications in ophthalmology are discussed, including the following: lack of explainability, limited generalizability, potential biases and protection of patient confidentiality in large-scale data transfer. Summary These controversial issues spanning the domains of clinical medicine, public health, computer science, ethics and legal issues, are complex and likely will benefit from an interdisciplinary approach if ar...
Source: Current Opinion in Ophthalmology - August 13, 2020 Category: Opthalmology Tags: ARTIFICIAL INTELLIGENCE IN RETINA: Edited by Judy E. Kim and Ehsan Rahimy Source Type: research

Delivering personalized medicine in retinal care: from artificial intelligence algorithms to clinical application
Purpose of review To review the current status of artificial intelligence systems in ophthalmology and highlight the steps required for clinical translation of artificial intelligence into personalized health care (PHC) in retinal disease. Recent findings Artificial intelligence systems for ophthalmological application have made rapid advances, but are yet to attain a state of technical maturity that allows their adoption into real-world settings. There remains an ‘artificial intelligence chasm’ in the spheres of validation, regulation, safe implementation, and demonstration of clinical impact that needs to be bri...
Source: Current Opinion in Ophthalmology - August 13, 2020 Category: Opthalmology Tags: ARTIFICIAL INTELLIGENCE IN RETINA: Edited by Judy E. Kim and Ehsan Rahimy Source Type: research

The Guardian view on artificial intelligence's revolution: learning but not as we know it | Editorial
GPT-3, the software behind the world ’s best non-human writer, is a giant step forward for machines. What about humanity?Bosses don ’t often play down their products. Sam Altman, the CEO of artificial intelligence company OpenAI, did just that when people went gaga over his company’s latest software: the Generative Pretrained Transformer 3 (GPT-3). For some, GPT-3 represented a moment in which one scientific era ends and ano ther is born. Mr Altman rightly lowered expectations. “The GPT-3 hype is way too much,” hetweeted last month. “It’s impressive … but it still has serious weaknesses and sometimes makes ...
Source: Guardian Unlimited Science - August 11, 2020 Category: Science Authors: Editorial Tags: Artificial intelligence (AI) Computing Consciousness Technology Science Source Type: news

Artificial intelligence and organ transplantation: challenges and expectations
Purpose of review Classifiers based on artificial intelligence have emerged in all areas of medicine. Although very subtle, many decisions in organ transplantation can now be addressed in a more concisely manner with the support of these classifiers. Recent findings Any aspect of organ transplantation (image processing, prediction of results, diagnostic proposals, therapeutic algorithms or precision treatments) consists of a set of input variables and a set of output variables. Artificial intelligence classifiers differ in the way they establish relationships between the input variables, how they select the data group...
Source: Current Opinion in Organ Transplantation - July 30, 2020 Category: Surgery Tags: ARTIFICIAL INTELLIGENCE IN TRANSPLANTATION: Edited by Javier Briceño Source Type: research

Canada Protocol: An Ethical Checklist For The Use Of Artificial Intelligence In Suicide Prevention And Mental Health
Publication date: Available online 18 July 2020Source: Artificial Intelligence in MedicineAuthor(s): Carl-Maria Mörch, Abhishek Gupta, Brian L. Mishara
Source: Artificial Intelligence in Medicine - July 19, 2020 Category: Bioinformatics Source Type: research