Evaluating ChatGPT as an Adjunct for Radiologic Decision-Making

Author:

Rao AryaORCID,Kim John,Kamineni Meghana,Pang Michael,Lie Winston,Succi Marc D.

Abstract

ABSTRACTBACKGROUNDChatGPT, a popular new large language model (LLM) built by OpenAI, has shown impressive performance in a number of specialized applications. Despite the rising popularity and performance of AI, studies evaluating the use of LLMs for clinical decision support are lacking.PURPOSETo evaluate ChatGPT’s capacity for clinical decision support in radiology via the identification of appropriate imaging services for two important clinical presentations: breast cancer screening and breast pain.MATERIALS AND METHODSWe compared ChatGPT’s responses to the American College of Radiology (ACR) Appropriateness Criteria for breast pain and breast cancer screening. Our prompt formats included an open-ended (OE) format, where ChatGPT was asked to provide the single most appropriate imaging procedure, and a select all that apply (SATA) format, where ChatGPT was given a list of imaging modalities to assess. Scoring criteria evaluated whether proposed imaging modalities were in accordance with ACR guidelines.RESULTSChatGPT achieved an average OE score of 1.83 (out of 2) and a SATA average percentage correct of 88.9% for breast cancer screening prompts, and an average OE score of 1.125 (out of 2) and a SATA average percentage correct of 58.3% for breast pain prompts.CONCLUSIONOur results demonstrate the feasibility of using ChatGPT for radiologic decision making, with the potential to improve clinical workflow and responsible use of radiology services.

Publisher

Cold Spring Harbor Laboratory

Reference25 articles.

1. Artificial Intelligence and Clinical Decision Support for Radiologists and Referring Providers;J. Am. Coll. Radiol,2019

2. Artificial Intelligence-Powered Clinical Decision Support and Simulation Platform for Radiology Trainee Education

3. Brown, T. B. et al. Language Models are Few-Shot Learners. Preprint at https://doi.org/10.48550/arXiv.2005.14165 (2020).

4. Terwiesch, C. Would Chat GPT3 Get a Wharton MBA?

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