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 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...
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...
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...
In October, the White House unveiled its Blueprint for an AI Bill of Rights, providing guidelines for the design, use, and deployment of AI-based tools to protect Americans from harm as the use of these technologies continues to grow in...
As 2022 draws to a close, health systems are gearing up for new opportunities and challenges in the year ahead. For many, top priorities from last year, such as patient access to care and efficiency improvements, will carry over into 2023....
Researchers from the Children’s Hospital of Philadelphia (CHOP) and the New Jersey Institute of Technology (NJIT) developed new machine-learning (ML) software to analyze multiple characteristics...
A group of researchers is conducting the Digital Detection of Dementia study that will evaluate the use of an artificial intelligence (AI)-based machine-learning (ML) algorithm that uses natural...
In a study published in Critical Care Medicine, researchers found that retraining and recalibration of a machine learning (ML)-based clinical decision support tool to predict readmission or death...
In a blog post published last week, experts from Stanford University’s Institute for Human-Centered Artificial Intelligence (HAI) discussed the opportunities provided by foundation models for AI...
