Abstract
At the dawn 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.
Recommended Citation
Z. Liu and L. Zhang and Z. Wu and X. Yu and C. Cao and H. Dai and N. Liu and J. Liu and W. Liu and Q. Li and D. Shen and X. Li and D. Zhu and T. Liu, "Surviving ChatGPT In Healthcare," Frontiers in Radiology, vol. 3, article no. 1224682, Frontiers Media, Jan 2023.
The definitive version is available at https://doi.org/10.3389/fradi.2023.1224682
Department(s)
Computer Science
Publication Status
Open Access
Keywords and Phrases
Artificial General Intelligence (AGI); Artificial Intelligence-AI; ChatGPT; GPT-4; large language models (LLM)
International Standard Serial Number (ISSN)
2673-8740
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2025 The Authors, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
01 Jan 2023
