This page shows you your search results in order of date. This is page number 11.

Order by Relevance | Date

Total 28870 results found since Jan 2013.

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

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

Artificial intelligence in radiation oncology
Nature Reviews Clinical Oncology, Published online: 25 August 2020; doi:10.1038/s41571-020-0417-8The possible uses of artificial intelligence (AI) in radiation oncology are diverse and wide ranging. Herein, the authors discuss the potential applications of AI at each step of the radiation oncology workflow, which might improve the efficiency and overall quality of radiation therapy for patients with cancer. The authors also describe the associated challenges and provide their perspective on how AI platforms might change the roles of radiation oncology medical professionals.
Source: Nature Reviews Clinical Oncology - August 25, 2020 Category: Cancer & Oncology Authors: Elizabeth Huynh Ahmed Hosny Christian Guthier Danielle S. Bitterman Steven F. Petit Daphne A. Haas-Kogan Benjamin Kann Hugo J. W. L. Aerts Raymond H. Mak Source Type: research

Sensors, Vol. 20, Pages 4791: Recognition and Repetition Counting for Local Muscular Endurance Exercises in Exercise-Based Rehabilitation: A Comparative Study Using Artificial Intelligence Models
oran Exercise-based cardiac rehabilitation requires patients to perform a set of certain prescribed exercises a specific number of times. Local muscular endurance exercises are an important part of the rehabilitation program. Automatic exercise recognition and repetition counting, from wearable sensor data, is an important technology to enable patients to perform exercises independently in remote settings, e.g., their own home. In this paper, we first report on a comparison of traditional approaches to exercise recognition and repetition counting (supervised ML and peak detection) with Convolutional Neural Networks (CN...
Source: Sensors - August 25, 2020 Category: Biotechnology Authors: Ghanashyama Prabhu Noel E. O ’Connor Kieran Moran Tags: Article Source Type: research

Artificial Intelligence-Based Quantification of Epithelial Proliferation in Mammary Glands of Rats and Oviducts of G öttingen Minipigs.
In conclusion, quantification of epithelial proliferation in two reproductive tissues can be achieved in a reliable fashion using image analysis software based on artificial intelligence, thus avoiding time- and labor-intensive manual counting, requiring trained operators. PMID: 32840183 [PubMed - as supplied by publisher]
Source: Toxicologic Pathology - August 25, 2020 Category: Pathology Authors: Hvid H, Skydsgaard M, Jensen NK, Viuff BM, Jensen HE, Oleksiewicz MB, Kvist PH Tags: Toxicol Pathol Source Type: research

Artificial intelligence for decision support in acute stroke — current roles and potential
Nature Reviews Neurology, Published online: 24 August 2020; doi:10.1038/s41582-020-0390-yImaging-based assessment is becoming increasingly important in the management of acute stroke, but processing and interpretation of images in clinical practice is challenging. In this Review, Parsons and colleagues explore the potential of artificial intelligence to provide treatment decision support.
Source: Nature Reviews Neurology - August 24, 2020 Category: Neurology Authors: Andrew Bivard Leonid Churilov Mark Parsons Source Type: research

Artificial Intelligence Analysis of Magnetic Particle Imaging for Islet Transplantation in a Mouse Model
ConclusionsWe have demonstrated the ability of theK-means++-based model to provide a standardized method of segmentation and quantification of MPI scans in an islet transplantation mouse model.
Source: Molecular Imaging and Biology - August 24, 2020 Category: Molecular Biology Source Type: research

Prediction, pattern recognition and modelling of complications post-endovascular infra renal aneurysm repair by artificial intelligence.
CONCLUSION: The study highlights the applicability, accuracy and reliability of artificial intelligence in the detection of adverse outcomes post-EVAR for an accurate surveillance stratification. PMID: 32829694 [PubMed - as supplied by publisher]
Source: Vascular - August 24, 2020 Category: Surgery Authors: Kordzadeh A, Hanif MA, Ramirez MJ, Railton N, Prionidis I, Browne T Tags: Vascular Source Type: research

Review of Artificial Intelligence Applications and Algorithms for Brain Organoid Research
AbstractThe human brain organoid is a miniature three-dimensional tissue culture that can simulate the structure and function of the brain in an in vitro culture environment. Although we consider that human brain organoids could be used to understand brain development and diseases, experimental models of human brain organoids are so highly variable that we apply artificial intelligence (AI) techniques to investigate the development mechanism of the human brain. Therefore, this study briefly reviewed commonly used AI applications for human brain organoid-magnetic resonance imaging, electroencephalography, and gene editing t...
Source: Interdisciplinary Sciences, Computational Life Sciences - August 24, 2020 Category: Bioinformatics Source Type: research

Situating Artificial Intelligence in Surgery: A Focus on Disease Severity
Objectives: Artificial intelligence (AI) has numerous applications in surgical quality assurance. We assessed AI accuracy in evaluating the critical view of safety (CVS) and intraoperative events during laparoscopic cholecystectomy. We hypothesized that AI accuracy and intraoperative events are associated with disease severity. Methods: One thousand fifty-one laparoscopic cholecystectomy videos were annotated by AI for disease severity (Parkland Scale), CVS achievement (Strasberg Criteria), and intraoperative events. Surgeons performed focused video review on procedures with ≥1 intraoperative events (n = 335). AI ve...
Source: Annals of Surgery - August 22, 2020 Category: Surgery Tags: PAPERS CHOSEN FOR PRESENTATION AT THE 2020 ANNUAL MEETING OF THE AMERICAN SURGICAL ASSOCIATION Source Type: research

IJERPH, Vol. 17, Pages 6110: A Perspective from a Case Conference on Comparing the Diagnostic Process: Human Diagnostic Thinking vs. Artificial Intelligence (AI) Decision Support Tools
Satoshi Watanuki Artificial intelligence (AI) has made great contributions to the healthcare industry. However, its effect on medical diagnosis has not been well explored. Here, we examined a trial comparing the thinking process between a computer and a master in diagnosis at a clinical conference in Japan, with a focus on general diagnosis. Consequently, not only was AI unable to exhibit its thinking process, it also failed to include the final diagnosis. The following issues were highlighted: (1) input information to AI could not be weighted in order of importance for diagnosis; (2) AI could not deal with comorbidit...
Source: International Journal of Environmental Research and Public Health - August 22, 2020 Category: Environmental Health Authors: Taku Harada Taro Shimizu Yuki Kaji Yasuhiro Suyama Tomohiro Matsumoto Chintaro Kosaka Hidefumi Shimizu Takatoshi Nei Satoshi Watanuki Tags: Perspective Source Type: research

Grouping Attributes Zero-Shot Learning for Tongue Constitution Recognition
Publication date: Available online 21 August 2020Source: Artificial Intelligence in MedicineAuthor(s): Guihua Wen, Jiajiong Ma, Yang Hu, Huihui Li, Lijun Jiang
Source: Artificial Intelligence in Medicine - August 21, 2020 Category: Bioinformatics Source Type: research

A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: an application in cancer diagnosis
Publication date: Available online 20 August 2020Source: Artificial Intelligence in MedicineAuthor(s): Oscar Reyes, Eduardo Pérez, Raúl M. Luque, Justo Castaño, Sebastián Ventura
Source: Artificial Intelligence in Medicine - August 21, 2020 Category: Bioinformatics Source Type: research

Empathy, emotional intelligence, and communication in Nursing: The moderating effect of the organizational factors.
CONCLUSION: the organizational factors exert an influence on the attitudes towards communication, empathy, and emotional intelligence. PMID: 32813778 [PubMed - in process]
Source: Revista Latino-Americana de Enfermagem - August 21, 2020 Category: Nursing Authors: Giménez-Espert MDC, Castellano-Rioja E, Prado-Gascó VJ Tags: Rev Lat Am Enfermagem Source Type: research

Editorial Board
Publication date: July 2020Source: Artificial Intelligence in Medicine, Volume 107Author(s):
Source: Artificial Intelligence in Medicine - August 21, 2020 Category: Bioinformatics Source Type: research

Artificial intelligence : What do urologists need to know?
Abstract In the past 10 years, the methods of artificial intelligence (AI) have experienced breakthroughs that have opened up a multitude of new fields of application for information technology. AI is particularly strong in those areas where patterns have to be recognized and conclusions and forecasts based on large, multiparametric data sets have to be drawn. Computers are superior to us in terms of precision and speed in these problems. These advances in information technology reach us at a time when innovations in diagnostics and sensor technology enable more precise patient stratification and confront medical ...
Source: Der Urologe. Ausg. A - August 21, 2020 Category: Urology & Nephrology Authors: Schreiber A, Hahn H, Wenzel M, Loch T Tags: Urologe A Source Type: research

Cancers, Vol. 12, Pages 2373: Comprehensive Serum Glycopeptide Spectra Analysis Combined with Artificial Intelligence (CSGSA-AI) to Diagnose Early-Stage Ovarian Cancer
hi Yoshida Mikio Mikami Ovarian cancer is a leading cause of deaths among gynecological cancers, and a method to detect early-stage epithelial ovarian cancer (EOC) is urgently needed. We aimed to develop an artificial intelligence (AI)-based comprehensive serum glycopeptide spectra analysis (CSGSA-AI) method in combination with convolutional neural network (CNN) to detect aberrant glycans in serum samples of patients with EOC. We converted serum glycopeptide expression patterns into two-dimensional (2D) barcodes to let CNN learn and distinguish between EOC and non-EOC. CNN was trained using 60% samples and validated ...
Source: Cancers - August 21, 2020 Category: Cancer & Oncology Authors: Kazuhiro Tanabe Masae Ikeda Masaru Hayashi Koji Matsuo Miwa Yasaka Hiroko Machida Masako Shida Tomoko Katahira Tadashi Imanishi Takeshi Hirasawa Kenji Sato Hiroshi Yoshida Mikio Mikami Tags: Article Source Type: research

The Significance of Cultural Intelligence in Nurse Leadership
Cultural intelligence (CQ), which is the ability to efficiently traverse multicultural environments and interactions, can have a profound impact on cultural literacy and fluency. It is foundational in the embodiment of cultural awareness, sensitivity, humility, and competence, and in decreasing biased decision-making. Evidence shows that bias, attitudes, and behaviors of health care providers negatively impact health outcomes for marginalized and stigmatized populations. The role of the nurse leader transcends multiple venues, including academia, clinical practice, and corporate and settings; therefore, CQ development and ...
Source: Nurse Leader - August 21, 2020 Category: Nursing Authors: Angela Richard-Eaglin Source Type: research

Photodesorption mechanism of water on WO3(001) – a combined embedded cluster, computational intelligence and wave packet approach
Phys. Chem. Chem. Phys., 2020, Advance Article DOI: 10.1039/D0CP02809F, PaperThomas Teusch, Thorsten Kl üner Predicting photodesorption with CASSCF, artificial intelligence and wave packet dynamics. To cite this article before page numbers are assigned, use the DOI form of citation above. The content of this RSS Feed (c) The Royal Society of Chemistry
Source: RSC - Phys. Chem. Chem. Phys. latest articles - August 20, 2020 Category: Chemistry Authors: Thomas Teusch Source Type: research

Exeter experts organize global Artificial Intelligence summit to tackle pandemics
(University of Exeter) A global summit which aims to boost effective collaboration between experts working in Artificial Intelligence (AI) is being organised by academics at the University of Exeter.
Source: EurekAlert! - Medicine and Health - August 20, 2020 Category: International Medicine & Public Health Source Type: news

Local Officials in China Hid Coronavirus Dangers From Beijing, U.S. Agencies Find
A new U.S. intelligence report says top officials in Beijing were in the dark in early January on the true dangers of the virus. That could affect U.S. policy on China.
Source: NYT Health - August 20, 2020 Category: Consumer Health News Authors: Edward Wong, Julian E. Barnes and Zolan Kanno-Youngs Tags: Coronavirus (2019-nCoV) Wuhan (China) Xi Jinping Communist Party of China United States International Relations Central Intelligence Agency Espionage and Intelligence Services Homeland Security Department Trump, Donald J United States Po Source Type: news

Media Exposure to Terrorism and Perception of Immigrants as a Threat: The Role of Emotional Intelligence and Psychophysiological Self ‐Regulation
AbstractTo better understand how media exposure to terrorism ‐related images can lead to perceiving immigrants as more threatening, in the present study we manipulated participants’ exposure to media coverage of terrorist attacks and investigated how this may influence people's perception of Arab immigrants. Considering the important role of regulatory ab ilities when facing stressful events like terrorist attacks, we measured individual differences in both trait emotional intelligence and resting heart rate variability (HRV). Results showed that participants perceived Arab immigrants as more threatening in the media e...
Source: Risk Analysis - August 20, 2020 Category: International Medicine & Public Health Authors: Enrico Rubaltelli, Giulia Priolo, Sara Scrimin, Ughetta Moscardino Tags: Original Research Article Source Type: research

Clinical and Research Medical Applications of Artificial Intelligence
Artificial intelligence (AI), including machine learning (ML), has transformed numerous industries through newfound efficiencies and supportive decision-making. With the exponential growth of computing power and large datasets, AI has transitioned from theory to reality in teaching machines to automate tasks without human supervision. AI-based computational algorithms analyze “training sets” using pattern recognition and learning from inputted data to classify and predict outputs that otherwise could not be effectively analyzed with human processing or standard statistical methods.
Source: Arthroscopy - Journal of Arthroscopic and Related Surgery - August 20, 2020 Category: Surgery Authors: Prem N. Ramkumar, Kyle N. Kunze, Heather S. Haeberle, Jaret M. Karnuta, Bryan C. Luu, Benedict U. Nwachukwu, Riley J. Williams Tags: Level V Evidence Source Type: research

Sensors, Vol. 20, Pages 4693: Artificial Intelligence-Driven Oncology Clinical Decision Support System for Multidisciplinary Teams
This study aimed to investigate the effect of WfO use on hospital satisfaction and perception among patients cared for by MDTs. This was a descriptive study that used a written survey to gather information from cancer patients at a hospital in Korea. The rate of positive change in patient perception after treatment was 86.8% in the MDT-WfO group and 71.2% in the MDT group. In terms of easily understandable explanations, the MDT-WfO (9.53 points) group reported higher satisfaction than the MDT group (9.24 points). Younger patients in the MDT-WfO group showed high levels of satisfaction and reliability of treatment. When WfO...
Source: Sensors - August 20, 2020 Category: Biotechnology Authors: Kyounga Lee Seon Heui Lee Tags: Article Source Type: research

Clinical and Research Medical Applications of Artificial Intelligence: Fundamentals for the Orthopaedic Surgeon
Artificial intelligence (AI), including machine learning (ML), has transformed numerous industries through newfound efficiencies and supportive decision-making. With the exponential growth of computing power and large datasets, AI has transitioned from theory to reality in teaching machines to automate tasks without human supervision. AI-based computational algorithms analyze “training sets” using pattern recognition and learning from inputted data to classify and predict outputs that otherwise could not be effectively analyzed with human processing or standard statistical methods.
Source: Arthroscopy - Journal of Arthroscopic and Related Surgery - August 20, 2020 Category: Surgery Authors: Prem N. Ramkumar, Kyle N. Kunze, Heather S. Haeberle, Jaret M. Karnuta, Bryan C. Luu, Benedict U. Nwachukwu, Riley J. Williams Tags: Level V Evidence Source Type: research

Artificial Intelligence and Primary Care Research Artificial Intelligence and Primary Care Research
This article highlights current gaps, and provides suggestions for moving the field forward.Annals of Family Medicine
Source: Medscape Today Headlines - August 18, 2020 Category: Consumer Health News Tags: Family Medicine/Primary Care Journal Article Source Type: news

Artificial intelligence in thoracic surgery: past, present, perspective and limits
The objective of this article is to review applications of AI related to thoracic surgery and discuss the limits of its application in the European Union. Key aspects of AI will be developed through clinical pathways, beginning with diagnostics for lung cancer, a prognostic-aided programme for decision making, then robotic surgery, and finishing with the limitations of AI, the legal and ethical issues relevant to medicine. It is important for physicians and surgeons to have a basic knowledge of AI to understand how it impacts healthcare, and to consider ways in which they may interact with this technology. Indeed, synergy ...
Source: European Respiratory Review - August 18, 2020 Category: Respiratory Medicine Authors: Etienne, H., Hamdi, S., Le Roux, M., Camuset, J., Khalife-Hocquemiller, T., Giol, M., Debrosse, D., Assouad, J. Tags: Pulmonary pharmacology and therapeutics Reviews Source Type: research

Residential green space and child intelligence and behavior across urban, suburban, and rural areas in Belgium: A longitudinal birth cohort study of twins
This study includes 620 children and is part of the East Flanders Prospective Twin Survey (EFPTS), a registry of multiple births in the province of East Flanders, Belgium. Intelligence was assessed with the Wechsler Intelligence Scale for Children-Revised (WISC-R) in 620 children (310 twin pairs) between 7 and 15 years old. From a subset of 442 children, behavior was determined based on the Achenbach Child Behavior Checklist (CBCL). Prenatal and childhood residential addresses were geocoded and used to assign green space indicators. Mixed modeling was performed to investigate green space in association with intelligence an...
Source: PLoS Medicine - August 18, 2020 Category: Internal Medicine Authors: Esm ée M. Bijnens Source Type: research

Chemistry in Times of Artificial Intelligence.
Abstract Chemists have to a large extent gained their knowledge by doing experiments and thus gather data. By putting various data together and then analyze them chemists have fostered their understanding of chemistry. Since the 1960s computer methods have been developed to perform this process from data to information to knowledge. Simultaneously, methods were developed for assisting chemists in solving their fundamental questions such as the prediction of chemical, physical or biological properties, the design of organic syntheses, and the elucidation of the structure of molecules. This eventually led to a disci...
Source: Chemphyschem - August 18, 2020 Category: Chemistry Authors: Gasteiger J Tags: Chemphyschem Source Type: research

Fluid intelligence moderates the link between psychopathy and aggression differently for men and women - Thomson ND, Kevorkian S, Bozgunov K, Psederska E, Aboutanos M, Vasilev G, Vassileva J.
Research on sex differences in the association of psychopathy with fluid intelligence is limited, and it remains unknown if fluid intelligence plays a meaningful role in explaining the psychopathy-aggression link for men and women. The present study aimed ...
Source: SafetyLit - August 17, 2020 Category: International Medicine & Public Health Tags: Risk Factor Prevalence, Injury Occurrence Source Type: news

Artificial Intelligence in Mental Illness Diagnosis and Treatment
Conditions:   Artificial Intelligence;   Mental Illness Intervention:   Diagnostic Test: Artificial intelligence diagnosis and treatment assistance system Sponsor:   Shanghai Mental Health Center Not yet recruiting
Source: ClinicalTrials.gov - August 17, 2020 Category: Research Source Type: clinical trials

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