Artificial Intelligence

Machine learning tools predict COVID-19 vaccine hesitancy, uptake

March 27, 2024 - Researchers from the University of Cincinnati (UC) and Northwestern University have developed machine learning (ML) models that can accurately predict trends in COVID-19 vaccine uptake using reward and aversion judgments, according to a study published last week in the Journal of Medical Internet Research (JMIR) Public Health and Surveillance. The...


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Healthcare leaders launch Trustworthy & Responsible AI Network

by Shania Kennedy

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...

Machine learning predicts perioperative peripheral artery disease risk

by Shania Kennedy

Machine learning (ML) algorithms can accurately predict one-year major adverse limb event (MALE) or death following endovascular intervention for peripheral artery disease (PAD), according to a study...

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...

Healthcare orgs face significant data modernization challenges

by Shania Kennedy

Investments in data initiatives are a consistent return on investment (ROI) for healthcare organizations, but a majority need to modernize their data stack in 2024, according to Hakkoda’s...

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)...

Generative AI may bolster digital healthcare software development

by Shania Kennedy

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...

Deep learning tool predicts brain metastasis in lung cancer patients

by Shania Kennedy

A research team from Washington University School of Medicine in St. Louis has developed a deep learning (DL)-based approach to help predict which patients with non-small cell lung cancer (NSCLC) are...

Mayo Clinic develops novel AI class to advance cancer research, care

by Shania Kennedy

Mayo Clinic researchers have developed a new class of artificial intelligence (AI) – known as hypothesis-driven AI – to advance oncology research, according to a study published recently 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...

Artificial Intelligence Method Enables Data Mining from Pathology Reports

by Shania Kennedy

Cedars-Sinai researchers successfully utilized artificial intelligence (AI) to make pathology reports machine-readable, which could improve cancer patient recruitment in clinical trials. The research...

Machine Learning Predicts Cancer Risk in Liver Disease Patients

by Shania Kennedy

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

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 Risk Model Moderately Successful at Predicting Acute Kidney Injury

by Shania Kennedy

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

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...

NLP Framework Could Improve Medical Summarization Tools

by Shania Kennedy

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

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...