News

Pathology Foundation Model Leverages Medical Twitter Images, Comments

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Researchers from Stanford have leveraged pathology images and comments from Twitter, now known as X, to develop a large public dataset and artificial intelligence (AI) model for pathology image...

AI Voice Assistants Insufficient for Layperson CPR Instructions

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Researchers from Mass General Brigham, New York’s Albert Einstein College of Medicine, and Boston Children’s Hospital demonstrated that artificial intelligence (AI) voice assistants...

American Heart Association Releases Guidance for Patient Data Sharing

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The American Heart Association (AHA) released new policy guidance in Circulation this week outlining six principles for patient data sharing in medical research. The statement emphasizes that EHRs,...

Deep Learning Model Automates Severe Heart Valve Disease Detection

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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...

ChatGPT Achieves High Accuracy in Clinical Decision-Making Tasks

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Mass General Brigham researchers demonstrated that ChatGPT can achieve “impressive accuracy” in clinical decision-making, with increased performance as the tool is fed more clinical...

Machine Learning Predicts Esophageal, Stomach Cancers Using EHR Data

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A machine learning (ML) model can automatically predict esophageal adenocarcinoma (EAC) and gastric cardia adenocarcinoma (GCA) three years before a formal diagnosis, according to a study published...

Researchers Validate NLP Tool to Extract SDOH from Clinical Notes

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Researchers from the Indiana University Richard M. Fairbanks School of Public Health (IU Fairbanks School) and Regenstrief Institute have validated the generalizability and portability of a natural...

Deep Learning Method Helps Correct Motion-Corrupted Brain MRIs

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Researchers from the Massachusetts Institute of Technology (MIT) have developed a deep learning (DL) model that can correct magnetic resonance imaging (MRI) scans corrupted by motion artifacts,...

Deep Learning-Based Electrocardiogram Screening Detects Heart Defects

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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...

Experts: Medical Community Must Help Shape Use of LLMs in Healthcare

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In a special communication published this month in JAMA, researchers discussed the creation and adoption of large language models (LLMs) in healthcare, asserting that the process must be actively...

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

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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...

NLP May Help Flag SDOH Needs for Alzheimer’s, Dementia Patients

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Researchers have developed a natural language processing (NLP) algorithm to identify social determinants of health (SDOH) for Alzheimer's disease and related dementias (ADRD) patients using...

Deep Learning Tool May Support Personalized Cancer Care

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Researchers have developed a deep learning (DL) model capable of predicting cancer-related protein fragments that may elicit an immune response, which may aid the advancement of personalized cancer...

Clinicians May Be Unprepared for Widespread CDS Algorithm Integration

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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...

Data Utilization, Investment Lagging Among Hospitals and Health Systems

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A survey conducted by the Healthcare Information and Management Systems Society (HIMSS) and healthcare data analytics company Arcadia about the current state of healthcare analytics platforms...

Few Executives Establishing Strategies for Highly Trusted AI

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Research from Bain and Company indicated that although health executives acknowledge the capabilities of artificial intelligence (AI), many struggle with prioritization. This led researchers to create...

Senator Calls on Google to Ensure Ethical Deployment of Health AI

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This week, United States Senator Mark R. Warner (D-VA), Chairman of the Senate Select Committee on Intelligence, sent a letter to Google CEO Sundar Pichai citing concerns about the company’s...

Google, ChatGPT: Inadequate Dementia Resources Despite Strengths

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A new study from the University of California, Riverside (UCR) indicated that Google and ChatGPT contained positive features such as up-to-date and nonbiased information. When used effectively, these...

Clinical Decision Support Tools Did Not Reduce CVD Disparities

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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...

Deep Learning Model Detects Diabetes Using Routine Chest Radiographs

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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...