Tools & Strategies News

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...

Read More


Articles

Top 12 ways artificial intelligence will impact healthcare

by

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

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

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...

Clinical tool predicts adoptive therapy response in eye cancer patients

by

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...

Machine learning framework captures uncertainty in medical images

by

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

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...

Deep learning tool may reduce false-positives in screening mammography

by

Researchers have developed a deep learning tool capable of reducing false positives without missing true cases of breast cancer identified by screening mammography, according to a study published this...

10 high-value use cases for predictive analytics in healthcare

by

As healthcare organizations pursue improved care delivery and increased operational efficiency, digital transformation remains a key strategy to help achieve these goals. Many health systems’...

AI biomarker identifies aortic stenosis development, progression

by

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...

Machine learning predicts hospitalization during cancer treatment

by

Machine learning tools can accurately forecast an unplanned hospitalization event during concurrent chemoradiotherapy (CRT) using patient-generated health data from wearable devices, according to a...

Machine learning predicts risk of suicide in patients initiating care

by

Kaiser Permanente researchers have demonstrated that a machine learning-based predictive model can stratify suicide risk among patients scheduled for an intake visit to outpatient mental healthcare,...

Clinical deterioration AI contributes to reduced care escalation risk

by

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,...

Machine learning tools predict COVID-19 vaccine hesitancy, uptake

by

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...

Deep learning model detects COVID-19 infection using lung imaging

by

Johns Hopkins researchers have developed a deep learning-based model to detect COVID-19 infection using lung ultrasound images, according to a study published recently in Communications Medicine. The...

Machine learning predicts perioperative peripheral artery disease risk

by

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

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...

Generative AI may enhance healthcare-associated infection surveillance

by

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

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...

Predictive tool use has little effect on knee surgery decision-making

by

Researchers demonstrated that the use of a tool to predict total knee arthroplasty (TKA) in patients with knee osteoarthritis had little impact on patient-reported willingness to undergo the procedure,...

Recent Articles