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opportunities and challenges of large language models in medical imaging
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نویسنده
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tarighatnia ali ,amanzadeh masoud ,hamedan mahnaz ,kiani mahnaz ,nader nader d.
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منبع
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frontiers in biomedical technologies - 2025 - دوره : 12 - شماره : 2 - صفحه:205 -209
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چکیده
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Large language models (llms) have the potential to revolutionize medical imaging by improving diagnostic accuracy, enhancing workflow efficiency, and advancing personalized medicine. however, addressing the challenges related to data privacy, hallucinations, interpretability, bias, and regulatory issues is crucial for the successful and ethical integration of llms into clinical practice. collaboration between radiologists, ai developers, and other stakeholders is essential to ensure this technology benefits patients and healthcare providers
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کلیدواژه
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large language models; medical imaging; opportunities; challenges
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آدرس
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ardabil university of medical sciences, school of medicine, department of medical physics, iran, ardabil university of medical sciences, school of medicine, department of health information management, iran, ardabil university of medical sciences, school of medicine, department of health information management, iran, tehran university of medical sciences, research center for molecular and cellular imaging, iran, university at buffalo, jacobs school of medicine and biomedical sciences, department of anesthesiology, usa
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پست الکترونیکی
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nnader@buffalo.edu
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Authors
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