• 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...

  • 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...

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

    March 25, 2024 - 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 financial imperative to focus on delivering holistic, preventive healthcare to their patients.  Instead of simply addressing acute ailments as they...

  • Google Health shares generative AI, health equity research updates

    March 19, 2024 - 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 information accessibility. At last year’s event, Google Health introduced its large language model (LLM) Med-PaLM 2, a tool fine-tuned for the...


Today's Top Stories

Machine learning tools predict COVID-19 vaccine hesitancy, uptake

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

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

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?

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

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

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

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...

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