Artificial Intelligence

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.
Apr 20, 2018 | Interoperability
TriHealth, a Cincinnati-based health system, has announced a $10 million-dollar investment to implement the IBM Watson Health’s Enterprise Imaging Portfolio.
Apr 12, 2018 | Clinical Practice
A machine learning, real-time hand hygiene notification system improved participant adherence to 100 percent, according to a study published April 9 in the Journal of Hospital Infection.
Consumers are most comfortable with artificial intelligence (AI) when its used in the healthcare when compared to banking or retail, according to a survey conducted by SAS.
Apple has hired John Giannandrea, Google’s chief of search and artificial intelligence (AI), to run their machine learning and AI strategy, according to the New York Times.
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 healthcare, 21 percent of employees are concerned about their job security due to the adoption of robotics and artificial intelligence (AI), according to a survey conducted by MindEdge.
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.
Cigna has announced the launch of “Answers by Cigna," an additional skill to the Amazon Alexa voice-controlled device that aims to improve patient health literacy.
A Cleveland Clinic study, set to be published in the American College of Cardiology, found the KardiaBand for the Apple Watch was capable of accurately detecting atrial fibrillation (AFib).
Enrollment for breast cancer clinical trials at Mayo Clinic has risen by 80 percent following the implementation of IBM’s Watson for Clinical Trial Matching.
Orion Health has announced its machine learning system, Amadeus Intelligence, could improve patient care while reducing operating costs by minimizing waste.
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.
Researchers from New York's Icahn School of Medicine at Mount Sinai have developed machine learning capable of interpreting radiologist reports, according to a study published in Radiology.