Chronic Disease

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

January 18, 2024 - 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 the likelihood of screening completion, according to a recent study published in Nature Communications. Specifically, the researchers hypothesized that...

Read More


More Articles

Clinical Decision Support Tools Did Not Reduce CVD Disparities

by Mark Melchionna

According to a new study, using clinical decision support (CDS) tools in various care quality metrics, such as aspirin use and blood pressure control, did not reduce healthcare disparities among...

Children’s Hospital Colorado Launches Precision Medicine Institute

by Mark Melchionna

To increase diagnostic accuracy and advance the customizability of treatment for various conditions, Children’s Hospital Colorado (Children’s Colorado) launched the Precision Medicine...

Atlas Resource Aims to Support Custom Kidney Disease Treatment

by Mark Melchionna

Supported by funding from the National Institutes of Health (NIH), a collaborative effort between UC San Diego, Washington University, and other organizations led to the creation of an atlas tool...

Research Identifies Link Between Genetic Makeup and Disease Risk

by Mark Melchionna

Using data from the UCLA ATLAS Precision Health Biobank, UCLA Health researchers found differences in diagnoses, hospital use, and genetic disease across various populations, which provided them with a...

Mount Sinai Predictive AI Flags Drugs That May Cause Birth Defects

by Shania Kennedy

Researchers at the Icahn School of Medicine at Mount Sinai have developed an artificial intelligence (AI) model to predict which medicines and preclinical compounds may cause birth defects. The model,...

Mount Sinai Establishes Center for Ophthalmic AI and Human Health

by Shania Kennedy

The Icahn School of Medicine at Mount Sinai has established the Center for Ophthalmic Artificial Intelligence and Human Health, which aims to advance artificial intelligence (AI) in ophthalmology,...

Dementia Risk Prediction Models May Have Limited Clinical Utility

by Shania Kennedy

A study published last week in JAMA Network Open demonstrated that four widely used predictive models for estimating ten-year dementia risk have limited clinical value and utility, indicating that more...

AI Model Aims to Support Cell Functioning Predictions

by Mark Melchionna

Researchers from the University of Missouri (MU) enhanced their artificial intelligence (AI) model to improve its ability to predict protein location within cells of animals, humans, and plants,...

Artificial Intelligence Reviews Patient Perceptions of Cholesterol Drugs

by Mark Melchionna

Researchers at Stanford Medicine developed an artificial intelligence (AI) algorithm that can analyze Reddit data containing patient perceptions of statins, assessing positive and negative feedback...

NIH Funding to Support Cardiovascular Disease Detection Using AI

by Mark Melchionna

After receiving $6.2 million in funding from the National Institutes of Health (NIH), researchers from Case Western Reserve University and University Hospitals Cleveland Medical Center (UH) aim to...

Machine-Learning Technique Improves High Blood Pressure Treatment

by Mark Melchionna

Published in the International Journal of Epidemiology, a new UCLA study describes how a machine-learning technique known as “casual forest” could determine the hypertension patients that...

Machine-Learning Algorithm Enhances Stroke Diagnosis

by Mark Melchionna

Published in the Journal of Medical Internet Research, findings from Florida International University’s College of Business (FIU Business) indicate that a new machine-learning (ML) algorithm...

Novel Technique Uses Clinical Data to Predict Disease Risk

by Mark Melchionna

Published in the journal Artificial Intelligence in Medicine, new study findings describe how researchers from Children’s Hospital of Philadelphia (CHOP) and Drexel University used a new...

Mount Sinai Opens Center for Engineering and Precision Medicine

by Shania Kennedy

The Icahn School of Medicine at Mount Sinai and Rensselaer Polytechnic Institute (RPI) Center for Engineering and Precision Medicine (CEPM) hosted its grand opening last week, solidifying a partnership...

Partnership to Support National Gastroenterology-Focused Clinical Registry

by Shania Kennedy

The GI Quality Improvement Consortium, Inc. (GIQuIC), a joint collaboration of the American College of Gastroenterology (ACG) and American Society of Gastrointestinal Endoscopy (ASGE), has launched a...

New Artificial Intelligence-Based App Detects Mpox Rashes

by Mark Melchionna

Researchers from Stanford University and other institutions have created an artificial intelligence (AI)-based app, called PoxApp, that can capture photos of skin lesions and provide insight as to...

AI Offers Personalized Care Recommendations to Curb Heart Disease Risk

by Shania Kennedy

Researchers have validated a causal artificial intelligence model designed to identify a patient’s inherited risk of coronary artery disease (CAD) and provide personalized recommendations for...

Hospital Initiative to Combat Chronic Kidney Disease Disparities

by Shania Kennedy

Phoenix, Arizona-based Dignity Health St. Joseph’s Hospital and Medical Center launched a new initiative this week to address the use of race-based algorithms in the early diagnosis of chronic...

Partnership Aims to Bolster Kidney Care with Predictive Analytics

by Mark Melchionna

Trinity Health and Strive Health announced plans to enhance treatment for chronic kidney disease (CKD) and end-stage kidney disease (ESKD) for Loyola Physician Partners patients using predictive...

Recent Articles