Artificial Intelligence | June 2017

Artificial intelligence (AI) in medical devices may lead to breakthroughs for self-management in patients with diabetes, according to a study published May 31 in the Journal of Medical Internet Research.

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.

The implementation of artificial intelligence (AI) applications in the global healthcare market is set to save the industry $52 billion by 2021, according to a report conducted by ABI Research.

Researchers from the University of Texas MD Anderson Cancer Center in Houston have developed artificial intelligence (AI) with the aim to improve the accuracy of patient-specific clinical target volumes in cancer patients. Findings were published in the June 2018 issue of the International Journal of Radiation Oncology.

Researchers from the New York University Rory Meyers College of Nursing have found machine learning using real-time symptom reports to be accurate in identifying lymphedema early in breast cancer patients. Findings were published in the May 2018 issue of mHealth.

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 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.

A team from the Wellcome Sanger Institute in the United Kingdom, the University of Otago in New Zealand and the Helmholtz Institute for RNA-based Infection Research in Germany has developed a machine learning tool capable of detecting strains of salmonella before they cause bloodstream infections. Findings were published May 8 in PLOS Genetics.

TeleHealth Services has announced the launch of iCare Navigator, an interactive patient engagement system that uses virtual health coaches trained by artificial intelligence (AI) to address the shortage of nurses.