Generative AI for Advances in Biomedicine

The rapid advancement of Generative Artificial Intelligence (GenAI) has sparked widespread interest in the field of medical imaging, revealing unprecedented potential in diverse biomedical applications. Recent developments have enabled GenAI systems to perform at a level comparable to experienced clinicians, capable of generating highly accurate and structured medical reports, providing auxiliary diagnostic suggestions, and supporting complex clinical decision-making processes. By automating routine documentation, analyzing imaging data, and integrating multimodal patient information, GenAI can significantly reduce physician workload, minimize diagnostic errors, and improve the efficiency and clarity of doctor-patient communication. Beyond immediate clinical utility, these technologies hold promise for personalized medicine, predictive diagnostics, and large-scale epidemiological studies, offering transformative opportunities to enhance healthcare delivery and optimize clinical workflows. As research continues, the integration of GenAI into standard medical practice may redefine the role of clinicians, promoting more informed, data-driven, and patient-centered care.

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Publication Details

Journal
Journal of Medicine and Life Sciences
Published
2025-10-12
DOI
https://doi.org/10.71222/7dmwdj95
Primary Topic
Biomedical and Engineering Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Generative AI for Advances in Biomedicine

Yiran Sun
Journal of Medicine and Life Sciences
Biomedical and Engineering Education
article

Generative AI for Advances in Biomedicine

Yiran Sun
article en

Abstract

The rapid advancement of Generative Artificial Intelligence (GenAI) has sparked widespread interest in the field of medical imaging, revealing unprecedented potential in diverse biomedical applications. Recent developments have enabled GenAI systems to perform at a level comparable to experienced clinicians, capable of generating highly accurate and structured medical reports, providing auxiliary diagnostic suggestions, and supporting complex clinical decision-making processes. By automating routine documentation, analyzing imaging data, and integrating multimodal patient information, GenAI can significantly reduce physician workload, minimize diagnostic errors, and improve the efficiency and clarity of doctor-patient communication. Beyond immediate clinical utility, these technologies hold promise for personalized medicine, predictive diagnostics, and large-scale epidemiological studies, offering transformative opportunities to enhance healthcare delivery and optimize clinical workflows. As research continues, the integration of GenAI into standard medical practice may redefine the role of clinicians, promoting more informed, data-driven, and patient-centered care.

Journal of Medicine and Life SciencesVol. 1(3)
Lingnan University (HK), City University of Hong Kong (HK)
Openalex Percentile: Top 72%
Biomedical and Engineering Education
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Generative AI for Advances in Biomedicine — Yiran Sun · Journal of Medicine and Life Sciences (2025) | TGRS Research Map | TGRS