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Large language models (LLMs) are revolutionizing preoperative patient education for superior capsular reconstruction (SCR), providing comprehensive insights and enhancing preparedness.
Why it matters:
As AI becomes integral in clinical settings, understanding its role in patient education can lead to improved surgical outcomes and patient satisfaction. Gemini-1.5-Pro is particularly effective in delivering high-quality materials.
Clinical implications:
AI tools like Claude, GPT, and Gemini are reshaping how educational content is provided, though expert oversight remains essential.
Gemini's strengths: It outperformed others in completeness, risk avoidance, and educational quality, ensuring patients receive thorough and informative materials.
Areas for improvement: The absence of citations and alternative treatment discussions highlights the need for continuous content refinement.
Expert feedback: Clinicians emphasize the importance of readability and content depth, with Gemini excelling in delivering clear, understandable information to patients.
Study insights:
The study, involving evaluations by sports medicine experts and patients, confirms Gemini's superiority in educational value and satisfaction.
Clinical ratings: Gemini scored significantly higher than Claude and GPT in several key areas, including completeness and risk avoidance.
Patient perspectives: Patients rated Gemini's materials superior in educational quality and overall satisfaction, underscoring the model's effectiveness.
Interrater agreement: High agreement among clinicians validates the findings, though patient agreement was only fair, indicating diverse perceptions.
The bottom line:
While LLMs offer promising tools for preoperative education, continuous expert review and iterative improvements are crucial to address current limitations and enhance patient care.
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