In a recent commentary published in Cell Reports Medicine, University of Michigan researchers argued that the lack of education on healthcare artificial intelligence (AI) in medical school leaves...
Built upon high levels of experience in developing artificial intelligence (AI) solutions, Ardent Health and SwitchPoint have sustained a successful two-year collaboration to create a healthcare...
A study published in JAMA Network Open earlier this month details the development of a prediction model designed to estimate the optimal number of immature eggs, or oocytes, to attempt to fertilize...
A study published this week in BMC Medical Education identified substantial favorability toward artificial intelligence (AI) in healthcare and AI applied to musculoskeletal (MSK) care, such as skeletal...
After receiving a grant from the Leona M. and Harry B. Helmsley Charitable Trust, Oregon Health and Science University (OHSU) researchers developed an artificial intelligence (AI)-based app to evaluate...
The Massachusetts AI and Technology Center for Connected Care in Aging and Alzheimer’s Disease (MassAITC) at the University of Massachusetts (UMass) Amherst announced $1.7 million in funding for...
In a recent viewpoint published in JAMA, researchers explored the challenges of curbing discrimination by a clinical algorithm, arguing that the US Department of Health and Human Services’ (HHS)...
Researchers from the Carle Illinois College of Medicine (CI MED) at the University of Illinois are investigating when and how medical artificial intelligence (AI) and machine learning (ML) models will...
Published in the American Association for Clinical Chemistry's The Journal of Applied Laboratory Medicine, recent research describes two analytics-based strategies that were effective in helping...
Franciscan Health and Innovaccer, Inc., announced a partnership under which the 12-hospital system with facilities in Indiana and Illinois will leverage the company's advanced analytics to support...
University of California (UC) Davis Health and virtual practice management platform LiveCare Corp. announced the exploration of an artificial intelligence (AI) functionality that interprets care team...
Researchers from the University of California, Berkeley have developed machine-learning (ML) software that uses entries in EHRs to shed light on long COVID, including finding common symptoms and...
Duke Health and software company nference announced a collaboration aimed at accelerating research and improving patient care by leveraging the company’s advanced analytics platform.
According...
A collaboration between the University of Notre Dame Lucy Family Institute for Data and Society and Accenture aims to address community health challenges by expanding health equity data and applying...
A study published last week in JAMA Network Open found that a machine learning (ML)-based model leveraging available administrative data can accurately estimate adverse opioid outcomes, which could...
In a recent study, researchers validated a deep-learning (DL) model to predict lung cancer risk using chest radiographs and EMR data.
The Centers for Disease Control and Prevention (CDC) report that...
A study published this week in Scientific Reports comparing hypertension incidence prediction models found little difference in performance between machine-learning (ML) models and conventional...
Published in Nature Biotechnology, researchers from the University of California San Diego School of Medicine and Rady Children’s Institute described the creation of a deep-learning model that...
A mixed-methods quality improvement study published in JAMA Network Open found that using suicide risk estimation analytics did not augment existing prevention practices as intended during routine...
Published in JAMA Network Open, a recent study described how adding preoperative data and intraoperative hemodynamic monitoring data to a machine learning (ML)-based prediction model led to accurate...
