Clinical Decision Support

Top 12 ways artificial intelligence will impact healthcare

April 23, 2024 - Data have become increasingly valuable across industries as technologies like the Internet and smartphones have become commonplace. These data can be used to understand users, build business strategies and deliver services more efficiently. However, healthcare data are some of the most precious — and most targeted — sources of...

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Survey reveals physicians’ optimism, concerns around generative AI

by Shania Kennedy

A recent survey commissioned by Wolters Kluwer Health found that physicians are increasingly optimistic about the use of generative artificial intelligence (AI) in healthcare, but maintain key concerns...

Artificial intelligence tools improve skin cancer diagnostic accuracy

by Shania Kennedy

Artificial intelligence (AI)-driven tools can improve the skin cancer diagnostic accuracy of clinicians, nurse practitioners and medical students, according to a study published last week in npj...

Machine learning framework captures uncertainty in medical images

by Shania Kennedy

Researchers from the Massachusetts Institute of Technology (MIT), Massachusetts General Hospital and the Broad Institute of MIT and Harvard have developed a machine learning approach to help capture...

Generative AI may enhance healthcare-associated infection surveillance

by Shania Kennedy

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)...

Machine learning enables prediction of pediatric urinary condition

by Shania Kennedy

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...

Mount Sinai to develop sleep apnea outcome risk prediction models

by Shania Kennedy

Researchers from Mount Sinai have been awarded a four-year, $3 million grant from the National Heart, Lung, and Blood Institute of the National Institutes of Health (NIH) to develop artificial...

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

by Shania Kennedy

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...

AI Smartphone Tool Accurately Diagnoses Pediatric Ear Infections

by Shania Kennedy

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 Sepsis Model Predictions May Have Limited Clinical Utility

by Shania Kennedy

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

by Shania Kennedy

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,...

Auditing Framework Provides Insights into ‘Black Box’ Medical AI

by Shania Kennedy

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...

What Are the Benefits of Predictive Analytics in Healthcare?

by Editorial Staff

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...

What Are the Top Challenges of Clinical Decision Support Tools?

by Editorial Staff

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...

Deep Learning Model Predicts Mortality Following Medical Procedures

by Shania Kennedy

Researchers from the Smidt Heart Institute at Cedars-Sinai, Stanford University, and Columbia University have developed and validated a deep learning (DL) model capable of predicting postoperative...

Large Language Models May Improve Clinician Diagnostic Performance

by Shania Kennedy

Researchers from Beth Israel Deaconess Medical Center (BIDMC) found that the large language model (LLM) ChatGPT-4 outperforms clinicians in some instances of estimating the probabilities of diagnoses...

NYC Health Dept. Expands Work to Address Racism in Clinical Algorithms

by Shania Kennedy

The Coalition to End Racism in Clinical Algorithms (CERCA), a New York City Health Department-led effort to investigate the use of race-based medical algorithms, is expanding its work to include...

Large Language Model Diagnoses, Triages Without Introducing Biases

by Shania Kennedy

Researchers from University of California, Los Angeles (UCLA) Health have demonstrated that Generative Pre-trained Transformer 4 (GPT-4) can diagnose and triage various health conditions on par with...

Will Clinicians Become Dependent on Artificial Intelligence Tools?

by Shania Kennedy

Artificial intelligence (AI) technologies have garnered much attention in the healthcare industry in recent years, but the hype raises significant questions and concerns. How should these technologies be developed? For what use cases?...

Washington University in St. Louis Launches AI for Health Institute

by Shania Kennedy

The McKelvey School of Engineering at Washington University in St. Louis has established the AI for Health Institute, which will bring together clinical researchers and artificial intelligence experts...

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