Advances in artificial intelligence are moving from machine learning models that analyze data to algorithms that can act on it with minimal human involvement across clinical, administrative and patient-facing workflows.Agentic AI, or autonomous agents,…
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Yonatan (Yoni) Savir, Assoc. Prof. Faculty of Medicine at Technion
While it’s only relatively recently that AI became a household term, the technology is already having a major impact on society. But perhaps AI’s greatest…
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Attention-deficit/hyperactivity disorder (ADHD), characterized by diagnostic complexity and symptom heterogeneity, is a prevalent neurodevelopmental disorder. Here, we explored the machine learning (ML) analysis of retinal fundus photographs as a noninvasive biomarker for ADHD screening…
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In this new series, we pull back the curtain on the Wizard of Oz to provide plain English explanations about machine learning, artificial neural networks, natural language processing, large language models, and related technology.
By Paul…
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Predicting patients’ likelihood of getting discharged from the hospital has saved significant costs for a hospital in South Australia. Lyell McEwin Hospital, a major tertiary acute care hospital in Adelaide, applied a machine learning algorithm…
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Researchers from one of South Korea’s largest hospitals claim to have developed an objective measure of pain during and after surgery using AI. FINDINGS
The research team at Asan Medical Center devised a pain assessment model…
Healthcare-associated infections (HAIs) from multi-drug resistant organisms (MDROs) pose a significant challenge for healthcare systems. Patients can arrive at hospitals already infected (“importation”) or acquire infections during their stay (“nosocomial infection”). Many cases, often…
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Surgical success for patients with focal drug resistant epilepsy (DRE) relies on accurate localization of the epileptogenic zone (EZ). Currently, no exam delineates this zone unambiguously. Instead, the EZ is approximated by the area…
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LAS VEGAS – At the Smart Health Transformation Forum at HIMSS25 here, leaders discussed various ways health systems and clinics implement innovations, pitfalls during the piloting or implementation process, analyzing the validity and use cases…
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LAS VEGAS – Taking regimented approaches to implementing systems that leverage artificial intelligence can improve trust within organizations, but that may mean that proof of concept takes more time.AI can offer security teams increased…
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