AI In Healthcare

Healthcare leaders launch Trustworthy & Responsible AI Network

March 25, 2024 - Healthcare leaders came together recently to launch the Trustworthy & Responsible AI Network (TRAIN), a consortium created to explore and set standards for the safe application of artificial intelligence (AI) in health care. As AI advances, proponents emphasize that the technology’s capabilities could transform the healthcare industry by...


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Artificial intelligence unpredictably impacts radiologist performance

by Shania Kennedy

Researchers from Harvard Medical School (HMS), the Massachusetts Institute of Technology (MIT) and Stanford University have demonstrated that the use of artificial intelligence (AI)-based assistive...

Google Health shares generative AI, health equity research updates

by Shania Kennedy

Today at Google’s annual health event, The Check Up, the tech company shared updates regarding its artificial intelligence (AI) research, alongside its efforts to improve health equity and health...

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)...

AHA Issues Statement on the Use of AI in Cardiovascular Care

by Shania Kennedy

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...

AMA Report Outlines Considerations for AI Integration in Healthcare

by Shania Kennedy

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...

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,...

Hartford HealthCare Launches Center for AI Innovation

by Shania Kennedy

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...

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...

Health Systems Prioritize Artificial Intelligence Governance, Oversight

by Shania Kennedy

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

by Shania Kennedy

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...

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

by Shania Kennedy

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

by Shania Kennedy

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...

Researchers Call for Outcome-Centric Approach to Health AI Regulation

by Shania Kennedy

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...

Data Augmentation May Improve LLM Generalization on Clinical Notes

by Shania Kennedy

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

by Shania Kennedy

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’...

ML Model Predicts Complications Following Cardiovascular Interventions

by Shania Kennedy

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

by Shania Kennedy

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

by Shania Kennedy

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...