Chronic Disease Management

GPT-4 Matches Ophthalmologists in Glaucoma, Retina Management

February 23, 2024 - Researchers from the New York Eye and Ear Infirmary of Mount Sinai (NYEE) demonstrated that OpenAI’s Generative Pre-Training–Model 4 (GPT-4) can match, or in some cases outperform, ophthalmologists in the diagnosis and management of glaucoma and retina disorders. The study, published this week in JAMA Ophthalmology, sought to assess the...


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$4M Grant to Fund Development of Sleep Apnea Outcome Prediction Tools

by Shania Kennedy

Researchers from Mount Sinai have been awarded $4.1 million from the National Heart, Lung, and Blood Institute (NHLBI) at the National Institutes of Health (NIH) to develop artificial intelligence (AI)...

Predictive Model Accurately Tracks Alzheimer’s Disease Progression

by Shania Kennedy

Researchers from the University of Texas at Arlington (UTA) have developed a model to predict how a patient’s Alzheimer's will progress over time, according to a study published recently in...

AI-Driven Eye Exams May Increase Screening Rates Among Diabetic Youth

by Shania Kennedy

A research team from Johns Hopkins Children’s Center has found that an autonomous artificial intelligence (AI) tool to screen youth populations for diabetic eye disease (DED) can also increase...

NYC Health Dept. Expands Work to Address Racism in Clinical Algorithms

by Shania Kennedy

The Coalition to End Racism in Clinical Algorithms (CERCA), a New York City Health Department-led effort to investigate the use of race-based medical algorithms, is expanding its work to include...

Deep Learning Accurately Predicts Antihypertensive Treatment Success

by Shania Kennedy

Researchers have developed a deep neural network-based model to predict the most successful antihypertensive treatment for an individual, according to a study published recently in Mayo Clinic...

UC Berkeley Launches Agile Metabolic Health, Open Platforms Initiative

by Shania Kennedy

Stakeholders from the University of California (UC), Berkeley launched the Agile Metabolic Health project this week, an effort to enhance the treatment of diabetes and other metabolic disorders through...

University of Texas Awarded Funding for Disease Relapse Prediction AI

by Shania Kennedy

Researchers at the University of Texas at Arlington (UTA) have been awarded a $450,000 grant from the National Institute of General Medical Sciences to develop a machine learning-based model to predict...

University of Houston Awarded $3M to Develop Lupus Diagnostic AI

by Shania Kennedy

Researchers from the University of Houston have been awarded a $3 million grant from the National Institute of Diabetes and Digestive and Kidney Diseases to develop an artificial intelligence (AI) to...

Deep Learning Model Automates Severe Heart Valve Disease Detection

by Shania Kennedy

Researchers at Yale School of Medicine have developed a deep learning (DL) approach that can accurately detect aortic stenosis by analyzing heart ultrasound scans, according to a study published last...

Deep Learning-Based Electrocardiogram Screening Detects Heart Defects

by Shania Kennedy

Researchers from Brigham and Women’s Hospital and Keio University in Japan have developed a deep learning (DL) model capable of screening electrocardiograms (ECGs) for signs of atrial septal...

ML Model Accurately Predicts 6-Month Mortality Risk for Cancer Patients

by Shania Kennedy

In a study recently published in JAMA Network Open, researchers have externally validated a machine learning (ML) model designed to predict six-month mortality risk for patients with advanced cancer...

Deep Learning Model Detects Diabetes Using Routine Chest Radiographs

by Shania Kennedy

Researchers at Emory University have validated a deep learning (DL) model capable of detecting early warning signs of diabetes using routinely collected chest radiographs and electronic health record...

Models Classify Osteoarthritis Subgroups Based on Pain, Disease Severity

by Shania Kennedy

In a recent study published in BMC Medical Research Methodology, researchers developed multiple algorithms capable of identifying important osteoarthritis (OA) patient subgroups, such as those...

ADA Sessions Showcase Diabetic Retinopathy AI, Artificial Pancreas

by Shania Kennedy

During the 83rd Scientific Sessions held by the American Diabetes Association (ADA) in San Diego, California, over the weekend, researchers presented studies detailing advancements in diabetes care...

USC Researchers to Leverage Ophthalmology AI for Improved Patient Care

by Shania Kennedy

Researchers at the University of Southern California (USC) Roski Eye Institute are exploring how the use of artificial intelligence (AI) in ophthalmology may help automate clinical tasks, allocate...

Larger Healthcare Organizations Use More AI Solutions Than Smaller Ones

by Mark Melchionna

A report from the Center for Connected Medicine and KLAS provided data surrounding the growth of the artificial intelligence (AI) market along with the high frequency associated with using this...

ML Provides Personalized Hypertension Treatment Recommendations

by Shania Kennedy

Boston University (BU) researchers have co-developed a machine learning (ML) model designed to provide personalized hypertension treatment recommendations and assist clinicians with choosing which...

CT Scans Outperform Polygenic Risk Prediction Methods for Heart Disease

by Shania Kennedy

Computed tomography (CT) scans for coronary artery calcium significantly improved risk predictions for heart disease in middle-aged patients compared to polygenic risk scores, according to a study...

Potential Racial Bias Found in Type 2 Diabetes Risk Prediction Models

by Shania Kennedy

Artificial intelligence (AI) algorithms used to screen for and predict type 2 diabetes may be racially biased, which could perpetuate health disparities, according to a study published last week in...