ArticleArthroscopy, sports medicine, and rehabilitation2024
ChatGPT-4 Generates More Accurate and Complete Responses to Common Patient Questions About Anterior Cruciate Ligament Reconstruction Than Google's Search Engine.
Article in Arthroscopy, sports medicine, and rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- A Comparative Evaluation of ChatGPT and Google Search Output for Caregiver Education in Tetralogy of Fallot.Cardiology and therapy · 2026Article
- Article
- Are artificial intelligence-generated recommendations clinically safe? Evaluation of thromboembolic prophylaxis advice after arthroplasty.Revista da Associacao Medica Brasileira (1992) · 2026Article
- Evaluation of ChatGPT-5.2 responses to frequently asked questions about benign bone tumors.Frontiers in oncology · 2026Article
- The Emergence of Applied Artificial Intelligence in the Realm of Value Based Musculoskeletal Care.Current reviews in musculoskeletal medicine · 2025Review
- ChatGPT-Generated Responses Across Orthopaedic Sports Medicine Surgery Vary in Accuracy, Quality, and Readability: A Systematic Review.Arthroscopy, sports medicine, and rehabilitation · 2025Review
- A custom ChatGPT can accurately answer questions from an international expert osteotomy consensus statement.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2025Article
- Is it a pediatric orthopaedic urgency or not? Can ChatGPT answer this question?Journal of orthopaedic surgery and research · 2025Article
- The AI-educated patient.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To replicate a patient's internet search to evaluate ChatGPT's appropriateness in answering common patient questions about anterior cruciate ligament reconstruction compared with a Google web search. Methods: A Google web search was performed by searching the term "anterior cruciate ligament reconstruction." The top 20 frequently asked questions and responses were recorded. The prompt "What are the 20 most popular patient questions related to 'anterior cruciate ligament reconstruction?'" was input into ChatGPT and questions and responses were recorded. Questions were classified based on the Rothwell system and responses assessed via Flesch-Kincaid Grade Level, correctness, and completeness were for both Google web search and ChatGPT. Results: Three of 20 (15%) questions were similar between Google web search and ChatGPT. The most common question types among the Google web search were value (8/20, 40%), fact (7/20, 35%), and policy (5/20, 25%). The most common question types amongst the ChatGPT search were fact (12/20, 60%), policy (6/20, 30%), and value (2/20, 10%). Mean Flesch-Kincaid Grade Level for Google web search responses was significantly lower (11.8 ± 3.8 vs 14.3 ± 2.2; Conclusions: ChatGPT-4 generated more accurate and complete responses to common patient questions about anterior cruciate ligament reconstruction than Google's search engine. Clinical Relevance: The use of artificial intelligence such as ChatGPT is expanding. It is important to understand the quality of information as well as how the results of ChatGPT queries compare with those from Google web searches.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.