Tools & Strategies News

Generative AI may enhance healthcare-associated infection surveillance

March 18, 2024 - Researchers from Saint Louis University and the University of Louisville School of Medicine have found that generative artificial intelligence (AI) could improve healthcare-associated infection (HAI) surveillance programs, according to a study published last week in in the American Journal of Infection Control. HAIs remain a significant...


Articles

Generative AI may bolster digital healthcare software development

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A research team from NYU Langone Health demonstrated that the use of generative artificial intelligence (AI) could accelerate the development of digital health software, according to a study published...

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

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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,...

Machine learning enables prediction of pediatric urinary condition

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Researchers from Boston Children's Hospital have developed a machine learning model to predict risk of dilating vesicoureteral reflux (VUR) in infants with hydronephrosis – a condition in...

Deep learning tool targets ‘black box’ AI problem in medical imaging

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A research team from the University of Illinois Urbana-Champaign’s Beckman Institute for Advanced Science and Technology has developed a deep learning-based medical imaging approach designed to...

Top 10 Challenges of Big Data Analytics in Healthcare

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Big data analytics is a major undertaking for the healthcare industry.  Providers who have barely come to grips with putting data into their electronic health records (EHRs) are now tasked with...

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...

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...

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...

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...

$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,...