Application of Artificial Intelligence Large Models in Healthcare:a Survey

Corresponding author: GE Xiaoling, xlge@fudan.edu.cn

DOI: 10.12201/bmr.202408.00039

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  Abstract: The healthcare field has abundant multimodal data and open and diverse medical and health scenarios, which is one of the most promising fields for the application of artificial intelligence large models. Based on hardware, equipment and model framework, the AI large models utilizes medical text, medical image or medical multimodal datasets to carry out pre-training, fine-tuning, evaluation, optimization and utilization, thus achieves model building. The healthcare AI large model has been successfully applied in auxiliary diagnosis and treatment, medical imaging research, health management, biomedical research, drug research, medical examination and education, etc.However its also challenged by data security risks, moral and ethical risks, and technical risks. To regularize the development of AI large model technology, Some countries have formulated relevant laws, regulations, and standards . Opportunities and challenges coexist in healthcare cooperation with artificial intelligence, and artificial intelligence large model technology still needs to be continuously optimized and developed to promote deeper integration with the healthcare field.

  Key words: artificial intelligence; large model; healthcare; intelligent application

  Submit time: 20 August 2024

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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