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Generative Artificial Intelligence Performs at a Second-Year Orthopedic Resident Level.

Zachary C Lum1,2, Dylon P Collins3, Stanley Dennison3

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|April 15, 2024
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Summary
This summary is machine-generated.

Google BARD and ChatGPT show potential in orthopedic surgery, with BARD outperforming ChatGPT overall. While AI excels in recall, further development is needed for application-based knowledge and board certification.

Keywords:
chatgptgenerative artificial intelligencegoogle bardoiteorthopaedic surgery

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Area of Science:

  • Artificial intelligence in medical education
  • Large language models in surgery
  • AI performance evaluation

Background:

  • AI models like ChatGPT and BARD are increasingly used for information processing.
  • Evaluating AI competency is crucial to prevent errors, biases, and misinformation in healthcare.
  • Orthopedic surgery requires rigorous knowledge assessment, making AI evaluation relevant.

Purpose of the Study:

  • To assess the performance of ChatGPT and Google BARD in orthopedic surgery.
  • To evaluate AI performance across different question types and sub-specialties.
  • To compare AI performance against orthopedic residents' examination results.

Main Methods:

  • Administered 757 Orthopedic In-Training Examination (OITE) questions to ChatGPT and BARD.
  • Excluded image-based questions, resulting in 390 multiple-choice questions.
  • Categorized questions by 10 sub-specialties and 3 taxonomy classes (recall, interpretation, application).
  • Statistically analyzed AI performance and compared it to orthopedic resident data by postgraduate year (PGY).

Main Results:

  • Google BARD achieved a higher overall correct answer rate (58%) than ChatGPT (54%).
  • Both AIs performed better on recall questions than application-based knowledge questions.
  • AI performance ranked between the 42nd-96th percentile for PGY1s and 1st-17th for PGY5s, indicating a gap compared to senior residents.

Conclusions:

  • Google BARD demonstrated superior performance compared to ChatGPT in orthopedic surgery knowledge.
  • AI tools show promise as learning aids, particularly for recall-based knowledge in orthopedics.
  • Current AI performance, while comparable to early-stage residents, does not meet the standard for board certification.