Purpose <p>This study aimed to evaluate the performance of ChatGPT in responding to patient-centered queries related to cancer rehabilitation. It examined the accuracy, completeness, and overall quality of ChatGPT’s responses across major domains of cancer rehabilitation from a physical therapy perspective.</p> Methods <p>Fifteen representative patient queries covering eight domains of cancer rehabilitation—including general exercise, fatigue, bone metastasis, neuropathy, balance and falls, breast cancer, women’s health, and pediatric cancer—were developed by two licensed physical therapists. Each query was input into ChatGPT-4, and responses were independently evaluated for accuracy, completeness, and global quality based on established clinical practice guidelines and expert consensus.</p> Results <p>ChatGPT demonstrated a mean accuracy score of 3.93 (SD = 1.10) on a 5-point scale, a mean completeness score of 2.13 (SD = 0.83) on a 3-point scale, and a mean global quality score of 3.60 (SD = 1.12) on a 5-point scale. Responses were generally accurate and clinically relevant but often lacked details regarding exercise dosage, safety precautions, and guideline-concordant recommendations.</p> Conclusion <p>ChatGPT shows potential as an accessible tool for general cancer rehabilitation education but requires refinement to ensure accuracy, contextual relevance, and safety.</p> Implications for cancer survivors <p>AI-driven conversational models may improve patient access to rehabilitation information and self-management support when used under professional oversight and guided by evidence-based frameworks.</p>

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Artificial intelligence in cancer survivorship: evaluating ChatGPT’s performance in rehabilitation-related queries

  • Jie Hao,
  • Zixuan Yao,
  • Peng Fan,
  • Andréas Remis,
  • Kangchao Wu

摘要

Purpose

This study aimed to evaluate the performance of ChatGPT in responding to patient-centered queries related to cancer rehabilitation. It examined the accuracy, completeness, and overall quality of ChatGPT’s responses across major domains of cancer rehabilitation from a physical therapy perspective.

Methods

Fifteen representative patient queries covering eight domains of cancer rehabilitation—including general exercise, fatigue, bone metastasis, neuropathy, balance and falls, breast cancer, women’s health, and pediatric cancer—were developed by two licensed physical therapists. Each query was input into ChatGPT-4, and responses were independently evaluated for accuracy, completeness, and global quality based on established clinical practice guidelines and expert consensus.

Results

ChatGPT demonstrated a mean accuracy score of 3.93 (SD = 1.10) on a 5-point scale, a mean completeness score of 2.13 (SD = 0.83) on a 3-point scale, and a mean global quality score of 3.60 (SD = 1.12) on a 5-point scale. Responses were generally accurate and clinically relevant but often lacked details regarding exercise dosage, safety precautions, and guideline-concordant recommendations.

Conclusion

ChatGPT shows potential as an accessible tool for general cancer rehabilitation education but requires refinement to ensure accuracy, contextual relevance, and safety.

Implications for cancer survivors

AI-driven conversational models may improve patient access to rehabilitation information and self-management support when used under professional oversight and guided by evidence-based frameworks.