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ChatGPT Provides Accurate but Incomplete Responses and Reliably Adjusts Readability to Prompts for Hamstring Injury

Thomas W Fenn1, Dominic M Farronato1, Douglas K Wells1

  • 1Division of Sports Medicine, Department of Orthopaedic Surgery, University of Virgina Health, Charlottesville, Virginia, U.S.A.

Arthroscopy, Sports Medicine, and Rehabilitation
|September 22, 2025
PubMed
Summary
This summary is machine-generated.

ChatGPT accurately answers hamstring injury questions, adjusting reading levels when prompted. While not always complete, its ability to tailor information for patients makes it a valuable educational tool.

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Area of Science:

  • Orthopedics
  • Artificial Intelligence in Medicine
  • Medical Education

Background:

  • Artificial intelligence (AI) models like ChatGPT are increasingly used for medical information retrieval.
  • Evaluating the accuracy and readability of AI-generated medical content is crucial for patient education.
  • Hamstring injuries are common, and patients often seek information through frequently asked questions (FAQs).

Purpose of the Study:

  • To assess the accuracy of ChatGPT's responses to common hamstring injury FAQs.
  • To determine if ChatGPT can adjust its response complexity to specific reading levels (seventh-grade and graduate).

Main Methods:

  • Ten frequently asked questions about hamstring injuries were selected from patient education websites.
  • ChatGPT-4.0 was queried with these questions, both unprompted and with prompts for seventh-grade and graduate-level reading.
  • Responses were graded for accuracy and sufficiency, and readability was assessed using Flesch-Kinkaid scales.

Main Results:

  • Unprompted ChatGPT responses were generally accurate but sometimes lacked completeness (2/10 A, 7/10 B, 1/10 C).
  • Initial responses averaged a tenth-grade reading level (FRES 61.64, FKGL 10.28).
  • When prompted, ChatGPT successfully adapted to seventh-grade (FRES 75.2, FKGL 6.1) and graduate-level (FRES 12.08, FKGL 17.23) reading standards.

Conclusions:

  • ChatGPT demonstrates satisfactory accuracy for hamstring injury FAQs but may require further refinement for completeness.
  • The AI model effectively modifies its output complexity to meet specified reading levels.
  • ChatGPT shows potential as a supplemental patient education tool in orthopedics, aiding medical decision-making.