Preliminary experiments on interpretable ChatGPT-assisted diagnosis for breast ultrasound radiologists.

ABSTRACT:

Background

Ultrasound is essential for detecting breast lesions. The American College of Radiology's Breast Imaging Reporting and Data System (BI-RADS) classification system is widely used, but its subjectivity can lead to inconsistency in diagnostic outcomes. Artificial intelligence (AI) models, such as ChatGPT-3.5, may potentially enhance diagnostic accuracy and efficiency in medical settings. This study aimed to assess the utility of the ChatGPT-3.5 model in generating BI-RADS classifications for breast ultrasound reports and its ability to replicate the "chain of thought" (CoT) in clinical decision-making to improve model interpretability.

Methods

Breast ultrasound reports were collected, and ChatGPT-3.5 was used to generate diagnoses and treatment plans. We evaluated GP

SUBMITTER: Sun P 

PROVIDER: S-EPMC11400651 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature