A pilot study on the efficacy of GPT-4 in providing orthopedic treatment recommendations from MRI reports.

ABSTRACT: Large language models (LLMs) have shown potential in various applications, including clinical practice. However, their accuracy and utility in providing treatment recommendations for orthopedic conditions remain to be investigated. Thus, this pilot study aims to evaluate the validity of treatment recommendations generated by GPT-4 for common knee and shoulder orthopedic conditions using anonymized clinical MRI reports. A retrospective analysis was conducted using 20 anonymized clinical MRI reports, with varying severity and complexity. Treatment recommendations were elicited from GPT-4 and evaluated by two board-certified specialty-trained senior orthopedic surgeons. Their evaluation focused on semiquantitative gradings of accuracy and clinical utility and potential limitations of the LLM-

SUBMITTER: Truhn D 

PROVIDER: S-EPMC10656559 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature