News

AI Provides Personalized Treatment Strategies for Esophageal Cancer

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A research team from the University of Texas at Arlington (UTA) has developed an algorithm to provide optimal personalized treatment options for esophageal cancer patients, according to a January study...

Machine Learning Identifies Drug Candidates for Cardiac Fibrosis

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University of Virginia (UVA) researchers have developed a machine learning tool to identify factors associated with cardiac fibrosis and predict which drug candidates can help prevent the...

Researchers Call for Outcome-Centric Approach to Health AI Regulation

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In a recent viewpoint published in the Journal of the American Medical Association (JAMA), researchers from the University of California San Diego (UCSD) argued that the White House Executive Order on...

What Are the Benefits of Predictive Analytics in Healthcare?

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Predictive analytics in healthcare plays a major role in improving care delivery and patient outcomes. By leveraging historical data, this type of analytics allows health systems to gauge what’s...

Machine Learning Tool Predicts Heart Failure Treatment Response

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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...

Predictive Model Accurately Tracks Alzheimer’s Disease Progression

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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...

What Are the Top Challenges of Clinical Decision Support Tools?

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Clinical decision support tools can help organizations manage large volumes of data while enabling them to deliver quality, value-based care. Designed to sort through large amounts of data and provide...

Data-Focused Strategy May Hinder Generative AI Deployment in Healthcare

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Insights from Deloitte’s 2024 Health Care Generative AI Outlook Survey indicate that healthcare executives’ narrow focus on data could create blind spots that could prevent organizations...

Machine Learning, ‘Liquid Biopsy’ to Bolster Early Cancer Detection

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Researchers from City of Hope and its precision medicine research organization, the Translational Genomics Research Institute (TGen), have developed a machine learning (ML) approach that could...

Data Augmentation May Improve LLM Generalization on Clinical Notes

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Researchers from Johns Hopkins University and Columbia University have developed a technique to improve the performance of artificial intelligence (AI) and machine learning (ML) models for medical note...

UC San Diego Risk Stratification AI Predicts Sepsis, Reduces Mortality

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Researchers from the University of California (UC) San Diego School of Medicine have found that an artificial intelligence (AI) model deployed in emergency departments to forecast patients’...

Artificial Intelligence Models May Enhance Immunotherapy Treatments

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Researchers from Cleveland Clinic and IBM have found that artificial intelligence (AI) models can help provide insights into how antigen peptides interact with immune cells, which could be used to...

ML Model Predicts Complications Following Cardiovascular Interventions

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A research team from the University of Michigan has developed a machine learning tool capable of accurately predicting death, major bleeding events, and the need for blood transfusion in patients...

Precision Medicine Tool May Enhance Pancreatic Cancer Outcome Prediction

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The use of a precision medicine tool designed by Cedars-Sinai researchers has led to the development of a blood test that outperforms the only United States Food and Drug Administration (FDA)-approved...

UCLA Releases Public-Access Surgical Outcomes Database for AI Training

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Researchers from the University of California, Los Angeles (UCLA) and the University of California, Irvine (UCI) have developed a repository of surgical outcomes data to help the medical research...

WHO Releases Governance Guidelines for Generative Artificial Intelligence

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The World Health Organization (WHO) has released new guidance on the governance of large multi-modal models (LMMs) – a type of generative artificial intelligence (AI) – in healthcare. The...

Predictive Models for Personalized Medicine Have Limited Generalizability

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Yale researchers have found that the predictive algorithms used to forecast treatment efficacy and guide personalized medicine efforts have limited effectiveness when generalized to patient cohorts...

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

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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...

Deep Learning Tool May Help Detect Pediatric Rheumatic Heart Disease

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Researchers from Children’s National Hospital have developed a deep learning (DL) to detect latent rheumatic heart disease (RHD) in children, which may improve case identification and treatment...

University of Massachusetts DL Model to Predict Alzheimer’s Onset

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Researchers from the University of Massachusetts (UMass) Amherst have received a two-year, $278,118 grant from the National Institutes of Health (NIH) to build deep learning models for the early...