AUTHOR=Liu Zhengliang , Zhang Lu , Wu Zihao , Yu Xiaowei , Cao Chao , Dai Haixing , Liu Ninghao , Liu Jun , Liu Wei , Li Quanzheng , Shen Dinggang , Li Xiang , Zhu Dajiang , Liu Tianming TITLE=Surviving ChatGPT in healthcare JOURNAL=Frontiers in Radiology VOLUME=3 YEAR=2024 URL=https://www.frontiersin.org/journals/radiology/articles/10.3389/fradi.2023.1224682 DOI=10.3389/fradi.2023.1224682 ISSN=2673-8740 ABSTRACT=

At the dawn of of Artificial General Intelligence (AGI), the emergence of large language models such as ChatGPT show promise in revolutionizing healthcare by improving patient care, expanding medical access, and optimizing clinical processes. However, their integration into healthcare systems requires careful consideration of potential risks, such as inaccurate medical advice, patient privacy violations, the creation of falsified documents or images, overreliance on AGI in medical education, and the perpetuation of biases. It is crucial to implement proper oversight and regulation to address these risks, ensuring the safe and effective incorporation of AGI technologies into healthcare systems. By acknowledging and mitigating these challenges, AGI can be harnessed to enhance patient care, medical knowledge, and healthcare processes, ultimately benefiting society as a whole.