How AI Responds to Common Lung Cancer Questions: ChatGPT versus Google Bard
University of California, Los Angeles · Georgia Institute of Technology
Abstract
Background The recent release of large language models (LLMs) for public use, such as ChatGPT and Google Bard, has opened up a multitude of potential benefits as well as challenges. Purpose To evaluate and compare the accuracy and consistency of responses generated by publicly available ChatGPT-3.5 and Google Bard to non-expert questions related to lung cancer prevention, screening, and terminology commonly used in radiology reports based on the recommendation of Lung Imaging Reporting and Data System (Lung-RADS) v2022 from American College of Radiology and Fleischner society. Materials and Methods Forty of the exact same questions were created and presented to ChatGPT-3.5 and Google Bard experimental version…
Citation impact
- FWCI
- 66.94
- Percentile
- 100%
- References
- 8
Authors
6Topics & keywords
- Medicine
- Consistency (knowledge bases)
- Terminology
- Lung cancer
- Information retrieval
- Medical physics
- Pathology
- Artificial intelligence