AIMC Topic: Physicians
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Will Artificial Intelligence Translate Big Data Into Improved Medical Care or Be a Source of Confusing Intrusion? A Discussion Between a (Cautious) Physician Informatician and an (Optimistic) Medical Informatics Researcher.
Journal of medical Internet research
Nov 27, 2019
Artificial intelligence (AI), the computerized capability of doing tasks, which until recently was thought to be the exclusive domain of human intelligence, has demonstrated great strides in the past decade. The abilities to play games, provide pilot...
Artificial intelligence and the future of psychiatry: Insights from a global physician survey.
Artificial intelligence in medicine
Nov 18, 2019
BACKGROUND: Futurists have predicted that new autonomous technologies, embedded with artificial intelligence (AI) and machine learning (ML), will lead to substantial job losses in many sectors disrupting many aspects of healthcare. Mental health appe...
Using machine learning to selectively highlight patient information.
Journal of biomedical informatics
Oct 29, 2019
BACKGROUND: Electronic medical record (EMR) systems need functionality that decreases cognitive overload by drawing the clinician's attention to the right data, at the right time. We developed a Learning EMR (LEMR) system that learns statistical mode...
Comparing the predictive ability of a commercial artificial intelligence early warning system with physician judgement for clinical deterioration in hospitalised general internal medicine patients: a prospective observational study.
BMJ open
Oct 10, 2019
OBJECTIVE: Our study compares physician judgement with an automated early warning system (EWS) for predicting clinical deterioration of hospitalised general internal medicine patients.
ICU staffing feature phenotypes and their relationship with patients' outcomes: an unsupervised machine learning analysis.
Intensive care medicine
Oct 8, 2019
PURPOSE: To study whether ICU staffing features are associated with improved hospital mortality, ICU length of stay (LOS) and duration of mechanical ventilation (MV) using cluster analysis directed by machine learning.
The Promise of Artificial Intelligence.
Texas medicine
Oct 1, 2019
"Prepare Yourselves, Robots Will Soon Replace Doctors in Healthcare," screamed the headline in a 2017 Forbes magazine article. Media coverage like that makes it easy to see why artificial intelligence (AI) sounds like scary science fiction to some ph...
The Attitudes of Therapists and Physicians on the Use of Sex Robots in Sexual Therapy: Online Survey and Interview Study.
Journal of medical Internet research
Aug 20, 2019
BACKGROUND: Various types of robots have already been successfully used in medical care, and the use of new technologies is also playing an increasing role in the area of sexuality. Sex robots are marketed as advanced sex toys and sex dolls with arti...
Machine learning versus physicians' prediction of acute kidney injury in critically ill adults: a prospective evaluation of the AKIpredictor.
Critical care (London, England)
Aug 16, 2019
BACKGROUND: Early diagnosis of acute kidney injury (AKI) is a major challenge in the intensive care unit (ICU). The AKIpredictor is a set of machine-learning-based prediction models for AKI using routinely collected patient information, and accessibl...
Physician Review of a Celiac Disease Risk Estimation and Decision-Making Expert System.
Journal of the American College of Nutrition
May 7, 2019
Celiac disease is a genetic disease affecting people of all ages, resulting in small intestine enteropathy. It is considered to be a clinical chameleon. Average prevalence of celiac disease is 1 out of 100 people with data indicating the risk may be...
Construction of medical equipment-based doctor health monitoring system.
Journal of medical systems
Apr 10, 2019
The health status of doctors has been overlooked by the society and even the doctors themselves, especially those doctors who work long hours. Their attention is always on patients, so they are more likely to ignore their own health problems. Therefo...
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