Researchers from the University of Chicago Medicine have developed a comprehensive care physician model capable of improving quality while lowing hospitalization rates. Findings were published in the May 20 edition of New York Times Sunday Magazine.
Researchers from the University of California, Los Angeles (UCLA) have developed an algorithm capable of accurately predicting which patients will survive a heart transplant and for how long.
AliveCor and Mayo Clinic have utilized machine learning to identify long QT syndrome (LQTS), with findings presented at the Heart Rhythm Scientific Sessions in Boston.
Researchers from Swansea University Medical School and the College of Human and Health Sciences have used electronic medical records (EMRs) to improve clinical trials by expanding remote monitoring. Findings were published May 16 in Scientific Reports.
Researchers from the at Imperial College London and the University of Edinburgh have developed artificial intelligence (AI) software capable of detecting a common cause of dementia and stroke. Findings were published May 15 in Radiology.
Researchers from the University of Waterloo in Ontario, Canada, have developed artificial intelligence (AI) capable of using wearable-collected data to predict the onset of health problems. Findings were published Feb. 23 in the Journal of Applied Physiology.
Mobile health (mHealth) applications are seen as useful tools by physicians treating women with gestational diabetes mellitus (GDM), according to a study published May 14 in JMIR mHealth and uHealth.
The Nuffield Council on Bioethics, a British independent monitoring body, in a recent briefing note, has expressed concern regarding the ethical implications of artificial intelligence (AI) in healthcare.
Stigmatizing language in patient medical records impacts physicians’ attitudes toward clinical decision making, according to a study published in the May 2018 issue of the Journal of General Internal Medicine.