Risk Assessment

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

March 14, 2024 - 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, according to a study published recently in JAMA Network Open. The research team indicated that roughly 10 to 20 percent of patients report...


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Machine Learning Predicts Cancer Risk in Liver Disease Patients

by Shania Kennedy

A research team from UC Davis Health developed a machine learning (ML) tool to identify which patients are at increased risk of developing hepatocellular carcinoma (HCC), a common type of liver...

Machine Learning Tool Predicts Heart Failure Treatment Response

by Shania Kennedy

A research team from The Texas Heart Institute recently developed a machine learning (ML) tool capable of characterizing and predicting diuretic responsiveness in individuals with acute decompensated...

AI-Driven ECG Analysis Accurately Predicts Right-Side Heart Issues

by Shania Kennedy

A research team from the Icahn School of Medicine at Mount Sinai has developed an artificial intelligence (AI) tool to help predict which cardiovascular patients are at increased risk for poor right...

AI Tool May Help Breast Cancer Patients Avoid Unnecessary Chemotherapy

by Shania Kennedy

Researchers from Northwestern University have developed an artificial intelligence (AI) tool that may be able to spare breast cancer patients unnecessary chemotherapy treatments by using cell patterns...

AI Tools May Detect Heart Valve Disease, Predict Cardiovascular Risk

by Shania Kennedy

Artificial intelligence (AI) and deep learning tools may be capable of accurately detecting heart valve disease and predicting the risk of cardiovascular disease events, according to two preliminary...

Risk-Based Lung Cancer Screening May Reduce Racial, Ethnic Disparities

by Shania Kennedy

Researchers have demonstrated that a risk-based lung cancer screening model may reduce racial and ethnic disparities and improve screening efficiency compared to national lung cancer screening...

Risk Stratification May Reduce Unnecessary Pediatric Oophorectomies

by Shania Kennedy

A consensus-based, preoperative risk stratification algorithm may help reduce unnecessary oophorectomies in pediatric and adolescent patients with benign ovarian disease, according to a study published...

Pancreatic Cancer Prediction Model May Reduce Unnecessary Biopsies

by Shania Kennedy

Researchers have developed and externally validated a prediction model to detect early-stage pancreatic cancer using routinely collected blood biomarkers, according to a recent study published in JAMA...

Clinicians May Be Unprepared for Widespread CDS Algorithm Integration

by Shania Kennedy

In a perspective article recently published in the New England Journal of Medicine, researchers from the University of Maryland School of Medicine (UMSOM) and Beth Israel Deaconess Medical Center...

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...

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...

VA Study to Develop AI for Aggressive Prostate Cancer Prediction

by Shania Kennedy

The United States Department of Veterans Affairs (VA) has launched a new study in which researchers from five VA medical centers will work to develop an artificial intelligence tool that can predict...

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...

AI Algorithms Outperform Standard Models in Cancer Prediction

by Mark Melchionna

Research from the Radiological Society of North America (RSNA) indicates that artificial intelligence (AI) algorithms performed better than the Breast Cancer Surveillance Consortium (BCSC) risk model...

Machine Learning Tools Flag Predictors of Fetal Heart Rate Changes

by Shania Kennedy

Researchers have developed machine learning (ML) methods that can accurately identify predictors associated with fetal heart rate changes following neuraxial analgesia in healthy pregnant patients,...

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...

ML Highlights Population Differences in Long COVID Risk, Symptoms

by Shania Kennedy

Researchers from Weill Cornell Medicine using machine learning (ML)-based analysis of electronic health record (EHR) data found that long COVID risk and symptoms present differently across diverse...

Machine-Learning Model Provides Predictions on Physician Turnover

by Mark Melchionna

A recent study by Yale University researchers detailed the creation of a machine-learning model that can assist researchers in determining physician turnover, enabling healthcare organizations to...

New Risk Score Tool Provides Accurate Predictions of Dementia Patterns

by Mark Melchionna

Published in JAMA Network Open, a recent study described the development and accuracy of a risk score tool that predicts individual dementia risk, providing clinical teams with guidance on timely...