Chronic Disease Management

University of Texas Awarded Funding for Disease Relapse Prediction AI

September 27, 2023 - 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 disease relapse. The tool will review patient data to generate insights into which patients may need additional treatments to manage their...

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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...

Predictive Analytics Model Forecasts Diabetic Kidney Disease

by Shania Kennedy

Researchers from Sanford Burnham Prebys and the Chinese University of Hong Kong validated a predictive analytics approach to forecast whether type 2 diabetes patients will develop kidney disease,...

Artificial Intelligence Aids Psoriasis Severity Assessment

by Shania Kennedy

Researchers have developed an artificial intelligence (AI)-based tool for the assessment of psoriasis severity in an effort to facilitate long-term chronic disease self-management for patients,...

Apple Watch, ML Can Predict Pain in Sickle Cell Disease Patients

by Shania Kennedy

In a paper published earlier this month in JMIR Formative Research, researchers explored the feasibility of using the Apple Watch to predict pain scores in hospitalized sickle cell disease patients and...

Deep-Learning Tool Helps Identify Patients with Cirrhosis

by Shania Kennedy

Researchers from the Medical University of South Carolina (MUSC) have developed a deep-learning (DL) approach that can identify patients with cirrhosis using clinical text in EHRs, according to a study...

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...

AI Partnership to Advance Brain Tumor Research, Treatment

by Shania Kennedy

Hackensack Meridian Health and medical technology company Neosoma, Inc. launched a partnership to use artificial intelligence (AI) to advance brain cancer research and treatment. According to the...

AI, Remote Data Capture Partnership to Advance Type 2 Diabetes Research

by Shania Kennedy

UW Medicine and Delve Health have announced a collaboration aimed at using artificial intelligence (AI), machine learning (ML), and remote data capture to bolster endemic type 2 diabetes research. The...

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