News

Machine Learning Predicts Cancer Risk in Liver Disease Patients

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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...

AI Smartphone Tool Accurately Diagnoses Pediatric Ear Infections

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Researchers from the University of Pittsburgh (Pitt) and UPMC have developed a smartphone application that leverages artificial intelligence (AI) to diagnose ear infections, specifically acute otitis...

Epic Risk Model Moderately Successful at Predicting Acute Kidney Injury

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Researchers from Mass General Brigham Digital demonstrated that the commercially available, machine learning-based Epic Risk of hospital-acquired acute kidney injury (HA-AKI) model is moderately...

AHA Issues Statement on the Use of AI in Cardiovascular Care

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The American Heart Association (AHA) released a scientific statement in Circulation this week detailing the current state of artificial intelligence (AI) use in the diagnosis and treatment of...

Machine Learning Models Predict Mortality Among Dementia Patients

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Researchers at the Icahn School of Medicine at Mount Sinai have developed machine learning (ML) models to identify mortality predictors in dementia patients, according to a study published this week in...

4 Emerging Strategies to Advance Big Data Analytics in Healthcare

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While the potential for big data analytics in healthcare has been a hot topic in recent years, the possible risks of using these tools have received just as much attention. Big data analytics...

AMA Report Outlines Considerations for AI Integration in Healthcare

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A report published this week by the American Medical Association (AMA) and Manatt Health outlines the transformational potential and associated risks of augmented intelligence, also known as artificial...

NLP Framework Could Improve Medical Summarization Tools

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Researchers from Pennsylvania State University (PSU) have developed a natural language processing (NLP) framework to improve the efficiency and reliability of artificial intelligence (AI)-driven...

Epic Sepsis Model Predictions May Have Limited Clinical Utility

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Researchers from the University of Michigan have demonstrated that the Epic Sepsis Model’s risk stratification accuracy was significantly impacted by whether its predictions were restricted to...

GPT-4 Matches Ophthalmologists in Glaucoma, Retina Management

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Researchers from the New York Eye and Ear Infirmary of Mount Sinai (NYEE) demonstrated that OpenAI’s Generative Pre-Training–Model 4 (GPT-4) can match, or in some cases outperform,...

Deep Learning Model Accurately Detects, Predicts Alzheimer’s Disease

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A research team from West Virginia University (WVU) has developed a deep learning model capable of detecting and predicting Alzheimer's disease using metabolic biomarkers. The researchers sought...

Hartford HealthCare Launches Center for AI Innovation

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Hartford HealthCare has launched its Center for Artificial Intelligence (AI) Innovation in Healthcare, one of a handful of such centers in the United States set to pursue AI research and development in...

275 Million New Genetic Variants Identified in “All of Us” Dataset

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Researchers have identified over 275 million previously unreported genetic variants within the National Institutes of Health’s All of Us Research Program dataset, which may provide...

Auditing Framework Provides Insights into ‘Black Box’ Medical AI

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Researchers from Stanford University and the University of Washington have developed an auditing framework designed to shed light on the ‘black box’ decision-making processes of healthcare...

Health Systems Prioritize Artificial Intelligence Governance, Oversight

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Health systems are increasingly prioritizing the development of artificial intelligence (AI) oversight efforts as they continue to navigate the potential promise and pitfalls of these tools in...

AI Chatbots Provide Inconsistent Musculoskeletal Health Information

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Artificial intelligence (AI) chatbots like ChatGPT, Google Bard, and BingAI provide information about musculoskeletal health with inconsistent accuracy, according to recent studies presented at the...

Precision Medicine Tool May Personalize Pediatric Cancer Treatment

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Researchers from University of Utah Health have developed a precision medicine tool to provide insights into how medications can best be used in pediatric cancer populations. Drug dynamics, or...

$4M Grant to Fund Development of Sleep Apnea Outcome Prediction Tools

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Researchers from Mount Sinai have been awarded $4.1 million from the National Heart, Lung, and Blood Institute (NHLBI) at the National Institutes of Health (NIH) to develop artificial intelligence (AI)...

AI, VR ‘Therapist’ Demonstrates Potential for Mental Health Support

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Cedars-Sinai researchers have developed an artificial intelligence (AI)-driven virtual reality (VR) tool to provide mental health support for patients with mild to moderate anxiety or depression,...

AHIMA Launches Resource Hub for Non-Clinical AI Use in Healthcare

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The American Health Information Management Association (AHIMA) has launched its AI Resource Hub to provide healthcare and health information (HI) stakeholders with knowledge around the use of...