Editor's Note: Artificial intelligence (AI) leveraging machine learning (ML) and natural language processing (NLP, a subset of machine learning) models can help identify donors with kidneys unsuitable for organ transplant, according to a study published November 1 in Jama Surgery. Despite the unmet need, many deceased-donor kidneys are discarded or…

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Editor's Note:  The U.S. Justice Department is investigating how the healthcare industry is using artificial intelligence (AI) tools to analyze and make decisions using patients’ electronic health records (EHRs), Bloomberg Law reported January 29. So far, DOJ has served subpoenas related to EHRs to at least three major pharma companies:…

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Editor's Note: A recent study suggests artificial intelligence (AI) can be valuable for identifying patients who consumed risky amounts of of alcohol prior to surgery. Findings appeared in the journal Alcohol, Clinical and Experimental Research on January 8. For the study, researchers extracted 3 years of text-based clinical records from…

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Editor's Note:  Researchers from UCLA and UC Irvine have created the first comprehensive online repository of physiological waveform and health record data from surgeries which is intended to serve as a resource for training and testing AI algorithms. The findings were published in JAMIA Open on October 17.  In development…

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Editor's Note:  Initial testing of an AI-driven documentation tool showed great promise in reducing administrative burdens on primary care clinicians at Atrium Health, according to a January 9 report in Chief Healthcare Executive. The health system is reportedly the first to widely test the Nuance Dragon Ambient eXperience (DAX) Copilot, which records…

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Editor's Note:  The World Health Organization (WHO)  has released recommendations around the ethics and guidance of artificial intelligence (AI)-based large language models (LLMs) in healthcare applications.  In a January 18 announcement, the organization recognized that AI LLMs, with their ability to analyze and interpret data, have a wide range of…

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Editor's Note:  Large language models trained to extract patients’ social determinants of health (SDoH) from clinician notes could help to identify patients who need additional support and resources. The findings, from investigators at Mass General Brigham, appeared in the Nature journal Digital Medicine on January 11.  Housing circumstances, employment, access…

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Editor's Note New data raise questions about the effectiveness of image-based AI model explanations in helping clinicians recognize systematic bias when diagnosing hospitalized patients. The findings appeared in JAMA on December 19. Researchers looked at the diagnostic accuracy of 457 hospital physicians, nurse practitioners, and physician assistants in diagnosing patients…

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Editor's Note A new artificial intelligence (AI) tool developed by researchers at the Smidt Heart Institute at Cedars-Sinai could help doctors better understand which patients are at greatest risk of dying following surgery, according to a December 15 report in Newswise. Based on findings originally published in the Lancet Digital…

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Editor's Note Functional ultrasound has been shown to be a promising alternative to brain-machine-interface (BMI) devices to read neural activity and assist people with paralysis. These findings were published by Nature Neuroscience on November 30.  BMIs typically require invasive surgical procedures to implant the electrodes into the brain. While these…

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