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: 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 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 The Cleveland Clinic announced, on August 16, that surgeons at its London facility successfully performed a total knee arthroplasty (TKA) with the assistance of an augmented reality-based platform designed with artificial intelligence and machine learning. Augmented reality, which gives a 3D visualization of the joint, helps with planning…

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Editor's Note This study from the University of Michigan, Ann Arbor, examines the use of a machine learning (ML) model to predict the suitability for having a surgical procedure performed at an ambulatory surgery center (ASC) vs a hospital-based outpatient department (HOPD). To augment a labor intensive manual process in…

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The topic of artificial intelligence (AI) makes headlines almost daily. Eliminating any fatalistic doomsday scenarios, current literature is raising interesting points around the useability of AI and the ethical considerations regular users of AI should not ignore. In the healthcare space, the number one question seems to be, Is it…

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ORs are at the heart of healthcare organizations, where critical decisions are made, often under immense pressure. This pressure has escalated with ever-increasing demands, growing complexities, and the constant requirement for innovative solutions. In today’s rapidly evolving technological landscape, artificial intelligence (AI), machine learning (ML), and the emerging generative AI…

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Editor's Note This study from New York University and NYU Langone Health, New York City, finds discrepancies between the marketing and 510(k) clearance of artificial intelligence (AI)- or machine learning (ML)-enabled medical devices, with some devices being marketed as having capabilities not approved by the Food and Drug Administration (FDA).…

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Editor's Note This Canadian meta-analysis finds that artificial intelligence (AI) has the potential to automate hip fracture diagnoses; however, complicated models may not provide benefit over traditional patient-specific postoperative outcomes predictions. Of 39 studies included in the analysis, 18 used AI models to diagnose hip fractures on plain radiographs and…

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Editor's Note Researchers at Mayo Clinic Healthcare in London are investigating how artificial intelligence (AI) can be used to identify colon polyps that might otherwise get overlooked during colonoscopy. The AI system works alongside the physician in real time, scanning the colonoscopy video feed and drawing small, red boxes around…

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