Tag: Artificial intelligence

Session: What are the legal implications of AI in healthcare?

Editor's Note How will healthcare regulators deal with artificial intelligence? How will malpractice law change, and who will be liable for harm derived from AI diagnosis and treatment recommendations? What can be done about bias in AI? Even amid a surge in algorithms cleared by the FDA, all of these…

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By: Matt Danford
February 7, 2024
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Session: Fast-forward—ECRI’s top 10 health technology hazards

Editor's Note ECRI, an independent, nonprofit organization that aims to improve the safety, quality, and cost-effectiveness of care across all healthcare settings, every year compiles and unveils a list of the top 10 technology hazards affecting patient care. The motivation for producing this list, according to Jason Launders, director of…

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By: Tarsilla Moura
February 5, 2024
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Keynote: The future is now—Novel solutions to advance health equity and improve patient outcomes

Editor's Note Young Juhn, MD, MPH, professor of pediatrics, research lab director, and clinical investigator at Mayo Clinic, is opening the OR Business Management Conference today by walking attendees through the Mayo Clinic HOUSES (housing-based socioeconomic status) Program. HOUSES was “developed, validated, and implemented…for measuring individual socioeconomic status based on…

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By: Tarsilla Moura
February 5, 2024
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ChatGPT study prompts questions about clinical applications for large-language-model AI

Editor's Note Although ChatGPT has shown human-level performance on several professional and academic benchmarks, a recent study of its potential for clinical applications raised questions among surgeon evaluators. Findings were reported in the journal Surgery on January 20. Specifically, researchers tested OpenAI’s general-purpose large-language model on questions from the Surgical…

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By: Matt Danford
February 1, 2024
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Machine learning study shows AI’s potential for predicting kidney transplant outcomes

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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By: Matt Danford
January 30, 2024
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DOJ cracking down on AI tools for clinical decision-making

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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By: Brita Belli
January 29, 2024
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AI screening identifies patients’ risky preoperative alcohol use

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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By: Brita Belli
January 25, 2024
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Researchers create repository of waveform and health data to drive AI innovation

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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By: Brita Belli
January 19, 2024
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AI-powered documentation tool undergoes successful pilot run

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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By: Matt Danford
January 18, 2024
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WHO urges cautious approach to generative AI healthcare applications

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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By: Brita Belli
January 18, 2024
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