Pitfalls of large language models in medical ethics reasoning by Shelly Soffer, Vera Sorin, Girish N. Nadkarni, Eyal Klang

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Large language models in medicine: A review of current clinical trials across healthcare applications. by Mahmud Omar, Girish N Nadkarni, Eyal Klang, Benjamin S Glicksberg

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Benchmarking the Confidence of Large Language Models in Answering Clinical Questions: Cross-Sectional Evaluation Study by Mahmud Omar, Reem Agbareia, Benjamin S Glicksberg, Girish N Nadkarni, Eyal Klang

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P322: The role of large language models in medical genetics by Rona Merdler-Rabinowicz, Eva Morava-Kosicz, Jaya Ganesh, Girish Nadkarni, Eyal Klang

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Multimodal LLMs for retinal disease diagnosis via OCT: few-shot versus single-shot learning by Reem Agbareia, Mahmud Omar, Ofira Zloto, Benjamin S. Glicksberg, Girish N. Nadkarni, Eyal Klang

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X-ray2CTPA: leveraging diffusion models to enhance pulmonary embolism classification by Noa Cahan, Eyal Klang, Galit Aviram, Yiftach Barash, Eli Konen, Raja Giryes, Hayit Greenspan

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Predictive machine-learning model for screening iron deficiency without anaemia: a retrospective cohort study by Girish N Nadkarni, Orly Efros, Eyal Klang, Shelly Soffer, Gili Kenet, Aya Mudrik, Renana Robinson

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Applications of Artificial Intelligence in Vasculitides: A Systematic Review by Mahmud Omar, Reem Agbareia, Mohammad E. Naffaa, Abdulla Watad, Benjamin S. Glicksberg, Girish N. Nadkarni, Eyal Klang

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Multi-model assurance analysis showing large language models are highly vulnerable to adversarial hallucination attacks during clinical decision support by Mahmud Omar, Vera Sorin, Jeremy D. Collins, David Reich, Robert Freeman, Nicholas Gavin, Alexander Charney, Lisa Stump, Nicola Luigi Bragazzi, Girish N. Nadkarni, Eyal Klang

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A strategy for cost-effective large language model use at health system-scale by Eyal Klang, Donald Apakama, Ethan E. Abbott, Akhil Vaid, Joshua Lampert, Ankit Sakhuja, Robert Freeman, Alexander W. Charney, David Reich, Monica Kraft, Girish N. Nadkarni, Benjamin S. Glicksberg

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