Artificial Intelligence

LLMs may enhance geriatric polypharmacy management in primary care

April 25, 2024 - 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 geriatric patients, according to a recent Journal of Medical Systems study. The researchers underscored that polypharmacy – the use of five or...


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Top 12 ways artificial intelligence will impact healthcare

by Editorial Staff

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...

Survey reveals physicians’ optimism, concerns around generative AI

by Shania Kennedy

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...

Artificial intelligence tools improve skin cancer diagnostic accuracy

by Shania Kennedy

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...

Machine learning framework captures uncertainty in medical images

by Shania Kennedy

Researchers from the Massachusetts Institute of Technology (MIT), Massachusetts General Hospital and the Broad Institute of MIT and Harvard have developed a machine learning approach to help capture...

Machine learning characterizes cardiac function, drug response

by Shania Kennedy

Columbia University researchers have developed a machine learning-based approach to assess cardiac function and drug response, according to a study published recently in IEEE Open Journal of...

National Academy of Medicine publishes AI Code of Conduct draft

by Shania Kennedy

The National Academy of Medicine (NAM) has published a draft framework for the responsible implementation of artificial intelligence (AI) technologies in healthcare and biomedical sciences and is...

AI biomarker identifies aortic stenosis development, progression

by Shania Kennedy

A multi-institutional team of researchers has identified an artificial intelligence (AI)-based video biomarker capable of helping clinicians more accurately understand which patients are likely to...

Clinical deterioration AI contributes to reduced care escalation risk

by Shania Kennedy

Researchers have demonstrated that an artificial intelligence (AI) model designed to detect clinical deterioration was associated with a significantly decreased risk of inpatient escalations in care,...

Artificial intelligence in healthcare: defining the most common terms

by Editorial Staff

As healthcare organizations collect more and more digital health data, transforming that information to generate actionable insights has become crucial. Artificial intelligence (AI) has the potential to significantly bolster these...

NIH funding development of AI tools for health disparity research

by Shania Kennedy

George Washington University (GW) School of Medicine and Health Sciences (SMHS) and the University of Maryland Eastern Shore (UMES) have been awarded a two-year, $839,000 National Institutes of Health...

AI reveals race-based differences in the expression of depression

by Shania Kennedy

Researchers from the University of Pennsylvania, Philadelphia, and the National Institute on Drug Abuse (NIDA) have demonstrated that artificial intelligence (AI) models designed to predict depression...

Machine learning tools predict COVID-19 vaccine hesitancy, uptake

by Shania Kennedy

Researchers from the University of Cincinnati (UC) and Northwestern University have developed machine learning (ML) models that can accurately predict trends in COVID-19 vaccine uptake using reward and...

Healthcare leaders launch Trustworthy & Responsible AI Network

by Shania Kennedy

Healthcare leaders came together recently to launch the Trustworthy & Responsible AI Network (TRAIN), a consortium created to explore and set standards for the safe application of artificial...

Machine learning predicts perioperative peripheral artery disease risk

by Shania Kennedy

Machine learning (ML) algorithms can accurately predict one-year major adverse limb event (MALE) or death following endovascular intervention for peripheral artery disease (PAD), according to a study...

Artificial intelligence unpredictably impacts radiologist performance

by Shania Kennedy

Researchers from Harvard Medical School (HMS), the Massachusetts Institute of Technology (MIT) and Stanford University have demonstrated that the use of artificial intelligence (AI)-based assistive...

Healthcare orgs face significant data modernization challenges

by Shania Kennedy

Investments in data initiatives are a consistent return on investment (ROI) for healthcare organizations, but a majority need to modernize their data stack in 2024, according to Hakkoda’s...

Google Health shares generative AI, health equity research updates

by Shania Kennedy

Today at Google’s annual health event, The Check Up, the tech company shared updates regarding its artificial intelligence (AI) research, alongside its efforts to improve health equity and health...

Generative AI may enhance healthcare-associated infection surveillance

by Shania Kennedy

Researchers from Saint Louis University and the University of Louisville School of Medicine have found that generative artificial intelligence (AI) could improve healthcare-associated infection (HAI)...

Generative AI may bolster digital healthcare software development

by Shania Kennedy

A research team from NYU Langone Health demonstrated that the use of generative artificial intelligence (AI) could accelerate the development of digital health software, according to a study published...