Health IT Analytics and Population Health News

Machine learning tools predict COVID-19 vaccine hesitancy, uptake

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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...

Deep learning model detects COVID-19 infection using lung imaging

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Johns Hopkins researchers have developed a deep learning-based model to detect COVID-19 infection using lung ultrasound images, according to a study published recently in Communications Medicine. The...

Healthcare leaders launch Trustworthy & Responsible AI Network

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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...

How do population health, public health, community health differ?

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The rapid proliferation of value-based care arrangements, driven by electronic health record (EHR) adoption and the subsequent explosion of big data, has given providers the opportunity and the...

Machine learning predicts perioperative peripheral artery disease risk

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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

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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

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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

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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...

MRI-based prostate cancer risk calculators prone to underprediction

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New research published in JAMA Network Open shows that magnetic resonance imaging (MRI)-based risk calculators can predict prostate cancer risk among adults in Europe and North America with some...

Generative AI may enhance healthcare-associated infection surveillance

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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

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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,...

Deep learning tool predicts brain metastasis in lung cancer patients

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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

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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...

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...

Mount Sinai to develop sleep apnea outcome risk prediction models

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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

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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...

Artificial Intelligence Method Enables Data Mining from Pathology Reports

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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...

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...