Researchers from Stony Brook University, Stanford University and the University of Pennsylvania have developed an AI-based system to track rates of depression and anxiety using data from social media...
A research team from the University of Virginia (UVA) Center for Diabetes Technology has demonstrated that incorporating AI into an artificial pancreas system for regulating type 1 diabetes improves...
Researchers from Ohio State University (OSU) have developed a deep learning-based framework designed to emulate randomized clinical trials (RCTs) and estimate treatment effects in stroke patients,...
A research team from University of California, Los Angeles (UCLA) Health have developed a machine learning model capable of identifying undiagnosed immune disorders by analyzing EHR data, according to...
A new survey conducted by Arcadia and the Healthcare Information and Management Systems Society (HIMSS) revealed that healthcare stakeholders view data analytics as key to meeting many of their...
Researchers from the University of Texas (UT) Southwestern Medical Center have developed a computational tool to predict breast cancer immunotherapy response by analyzing how cancer and immune cells...
The Federation of State Medical Boards (FSMB) published a report outlining best practices for state medical boards to govern the use of clinical AI, including recommendations to reduce potential harm...
A team of researchers from Cleveland Clinic found that machine learning can help characterize how gut microbial metabolites and cell receptors interact to influence Alzheimer's disease, according...
An automated, algorithm-driven surveillance tool successfully acted as an early warning system to detect and respond to outbreaks of healthcare-associated pathogens in a cohort of US hospitals...
A research team spearheaded by Florida State University (FSU) faculty has received a $1 million grant from the US Department of Health and Human Services’ Agency for Healthcare Research and...
A research team from Mass General Brigham found that standard computational pathology models performed differently across demographic groups, but demonstrated that foundation models can partially...
John Snow Labs recently published findings from its first Generative AI in Healthcare Survey, which revealed that healthcare and life sciences organizations are increasingly investing in generative...
A research team from the Mass General Brigham MESH Incubator found that the large language model (LLM) ChatGPT can support clinical decision-making around medication management and deprescription for...
Researchers from the University of Oklahoma (OU) have developed computational models designed to predict heart valve leakage in children and help guide surgical decision-making.
These tools identify...
Data have become increasingly valuable across industries as technologies like the Internet and smartphones have become commonplace. These data can be used to understand users, build business strategies...
Researchers from the University of Virginia (UVA) have developed a machine learning tool designed to assess and predict adverse outcome risks for patients with advanced heart failure with reduced...
A recent survey commissioned by Wolters Kluwer Health found that physicians are increasingly optimistic about the use of generative artificial intelligence (AI) in healthcare, but maintain key concerns...
Researchers from Clemson University have developed a deep learning tool to better understand how gene-regulatory network (GRN) interactions impact individual drug response, according to a study...
Artificial intelligence (AI)-driven tools can improve the skin cancer diagnostic accuracy of clinicians, nurse practitioners and medical students, according to a study published last week in npj...
Researchers from the University of Pittsburgh Medical Center (UPMC) have developed a predictive model to forecast metastatic uveal melanoma patients’ response to adoptive therapy, according to a...
