Evaluating ChatGPT’s Ability to Provide Patient Care Information in Foot and Ankle Surgery: A Comparative Analysis

BACKGROUND: Patients increasingly use the Internet and artificial intelligence (AI) platforms ChatGPT for medical information, raising concerns about the accuracy and clinical depth of AI-generated content. This study evaluated the reliability and clinical utility of ChatGPT (GPT-3.5 and GPT-4.0) for common foot and ankle conditions compared with patient education materials from the American Orthopaedic Foot & Ankle Society (AOFAS) FootCareMD. METHODS: Between January 20 and 26, 2025, standardized prompts were used to query GPT-3.5 and GPT-4.0 across 15 common foot and ankle conditions. ChatGPT responses were compared with AOFAS FootCareMD content based on the number of symptoms, risk factors, and treatment options provided. Two fellowship-trained foot and ankle orthopaedic surgeons independently evaluated response accuracy, categorizing outputs as <50%, 50% to 74%, 75% to 99%, or 100% accurate. Paired t-tests were used for statistical comparisons, and inter-rater reliability was assessed using Cohen's weighted kappa. RESULTS: GPT-4.0 generated significantly more symptoms than AOFAS content (P = .015). In contrast, GPT-3.5 listed significantly fewer treatment options than both AOFAS and GPT-4.0 (P = .042). When addressing surgical management, both ChatGPT versions frequently provided vague or incomplete information. GPT-3.5 referenced surgery without procedural detail in 53% of responses, while GPT-4.0 lacked detailed surgical explanations or omitted them entirely in 80% of responses. Overall accuracy ratings were high, with 77% of responses judged as 75% to 99% accurate and only 3.4% rated below 50% accuracy. However, inter-rater agreement between surgeons was poor (κ = -0.02), for responses labeled as 100% accurate, highlighting subjectivity in grading AI-generated medical content. CONCLUSION: ChatGPT effectively provides general information on foot and ankle conditions, regarding causes and symptoms, and GPT-4.0 offers more comprehensive treatment discussions than GPT-3.5. Nevertheless, its limited depth and specificity regarding surgical options restrict its clinical usefulness. Until further improvements are made, AI-generated content should serve as a supplement rather than a replacement for expert-reviewed patient education resources. LEVEL OF EVIDENCE: .

Authors

Institutions

Publication Details

Journal
Foot & Ankle Specialist
Published
2026-06-26
DOI
https://doi.org/10.1177/19386400261456922
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating ChatGPT’s Ability to Provide Patient Care Information in Foot and Ankle Surgery: A Comparative Analysis

Allison Joanna Lewis, Adam Bitterman, Zinoubia Hasasna, Geoffrey Phillips et al.
Foot & Ankle Specialist
Artificial Intelligence in Healthcare and Education
article

Evaluating ChatGPT’s Ability to Provide Patient Care Information in Foot and Ankle Surgery: A Comparative Analysis

Allison Joanna Lewis, Adam Bitterman, Zinoubia Hasasna, Geoffrey Phillips, Alexandra Krez
article en

Abstract

BACKGROUND: Patients increasingly use the Internet and artificial intelligence (AI) platforms ChatGPT for medical information, raising concerns about the accuracy and clinical depth of AI-generated content. This study evaluated the reliability and clinical utility of ChatGPT (GPT-3.5 and GPT-4.0) for common foot and ankle conditions compared with patient education materials from the American Orthopaedic Foot & Ankle Society (AOFAS) FootCareMD. METHODS: Between January 20 and 26, 2025, standardized prompts were used to query GPT-3.5 and GPT-4.0 across 15 common foot and ankle conditions. ChatGPT responses were compared with AOFAS FootCareMD content based on the number of symptoms, risk factors, and treatment options provided. Two fellowship-trained foot and ankle orthopaedic surgeons independently evaluated response accuracy, categorizing outputs as <50%, 50% to 74%, 75% to 99%, or 100% accurate. Paired t-tests were used for statistical comparisons, and inter-rater reliability was assessed using Cohen's weighted kappa. RESULTS: GPT-4.0 generated significantly more symptoms than AOFAS content (P = .015). In contrast, GPT-3.5 listed significantly fewer treatment options than both AOFAS and GPT-4.0 (P = .042). When addressing surgical management, both ChatGPT versions frequently provided vague or incomplete information. GPT-3.5 referenced surgery without procedural detail in 53% of responses, while GPT-4.0 lacked detailed surgical explanations or omitted them entirely in 80% of responses. Overall accuracy ratings were high, with 77% of responses judged as 75% to 99% accurate and only 3.4% rated below 50% accuracy. However, inter-rater agreement between surgeons was poor (κ = -0.02), for responses labeled as 100% accurate, highlighting subjectivity in grading AI-generated medical content. CONCLUSION: ChatGPT effectively provides general information on foot and ankle conditions, regarding causes and symptoms, and GPT-4.0 offers more comprehensive treatment discussions than GPT-3.5. Nevertheless, its limited depth and specificity regarding surgical options restrict its clinical usefulness. Until further improvements are made, AI-generated content should serve as a supplement rather than a replacement for expert-reviewed patient education resources. LEVEL OF EVIDENCE: .

Foot & Ankle Specialist
Philadelphia College of Osteopathic Medicine (US), Hofstra University (US), Long Island Jewish Medical Center (US), Huntington Hospital (US), North Shore Diabetes and Endocrine Associates (US)
Quality Education
Openalex Percentile: Top 9%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.