Stanford researchers, who have previously witnessed artificial intelligence (AI) performing on par with board-certified dermatologists, are turning to computer vision to ensure patient safety and improve physician hygiene.
Researchers from GERO, a longevity biotech company, and the Moscow Institute of Physics and Technology (MIPT) have developed an artificial intelligence (AI) system that uses physical data collected from wearables to develop digital biomarkers of aging and fragility. Findings were published March 26 in Scientific Reports.
Researchers at Aalto University in Finland and Japan's Kochi University of Technology have developed an artificial intelligence (AI) that takes individual patient difference into account to optimize a user interface. Findings were published March 15 in IEEE Pervasive Computing Journal.
In a report released by World Business Research (WBR) and Conversa Health, 98 percent of healthcare executives believed automated healthcare will be important to closing gaps in transactional care, continuous and collaborative care experiences.
Artificial intelligence (AI) is a hot topic across medical fields, from handling information technology to its impact in imaging. In an interview with Forbes, Nuance Communications executive vice president and general manager Satish Maripuir discussed its potential to affect various areas in healthcare.
In a New England Journal of Medicine article published March 15, researchers at Stanford University raised concerns with the ethical implications of artificial intelligence’s (AI) ability to make healthcare decisions for patients.
Researchers at Shiley Eye Institute at UC San Diego Health and University of California, San Diego School of Medicine have developed an artificial intelligence (AI) tool capable of screening patients with common but blinding retinal diseases for improved detection and treatment. Findings were published online Feb. 22 in Cell.
The Department of Veterans Affairs (VA) have announced a partnership with DeepMind, the artificial intelligence (AI) section of Alphabet, Google’s parent company, to reduce the rates of patient deterioration during hospital stays.
Chest pain is one of the most common reasons patients visit the emergency department (ED), but relatively few are eventually diagnosed with myocardial infarction (MI). New research found a machine learning algorithm can predict MI with 94 percent accuracy.
Researchers from the University of Southern California Viterbi School of Engineering have developed an algorithm capable of slowing the spread of infectious diseases while accounting for limited resources and population dynamics. Findings are published in the AAAI Conference on Artificial Intelligence.
A novel deep learning algorithm could hold the key to proactive palliative care—and predict patient deaths, according to a paper published by the Stanford University School of Medicine in California.