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Accuracy assessment of ChatGPT responses to frequently asked questions regarding anterior cruciate ligament surgery.
Villarreal-Espinosa, Juan Bernardo; Berreta, Rodrigo Saad; Allende, Felicitas; Garcia, José Rafael; Ayala, Salvador; Familiari, Filippo; Chahla, Jorge.
Affiliation
  • Villarreal-Espinosa JB; Department of Orthopedics, Rush University Medical Center, Chicago, IL, USA.
  • Berreta RS; Department of Orthopedics, Rush University Medical Center, Chicago, IL, USA.
  • Allende F; Department of Orthopedics, Rush University Medical Center, Chicago, IL, USA.
  • Garcia JR; Department of Orthopedics, Rush University Medical Center, Chicago, IL, USA.
  • Ayala S; Department of Orthopedics, Rush University Medical Center, Chicago, IL, USA.
  • Familiari F; Magna Graecia University of Catanzaro, Catanzaro, Italy.
  • Chahla J; Department of Orthopedics, Rush University Medical Center, Chicago, IL, USA. Electronic address: Jorge.Chahla@rushortho.com.
Knee ; 51: 84-92, 2024 Sep 05.
Article in En | MEDLINE | ID: mdl-39241674
ABSTRACT

BACKGROUND:

The emergence of artificial intelligence (AI) has allowed users to have access to large sources of information in a chat-like manner. Thereby, we sought to evaluate ChatGPT-4 response's accuracy to the 10 patient most frequently asked questions (FAQs) regarding anterior cruciate ligament (ACL) surgery.

METHODS:

A list of the top 10 FAQs pertaining to ACL surgery was created after conducting a search through all Sports Medicine Fellowship Institutions listed on the Arthroscopy Association of North America (AANA) and American Orthopaedic Society of Sports Medicine (AOSSM) websites. A Likert scale was used to grade response accuracy by two sports medicine fellowship-trained surgeons. Cohen's kappa was used to assess inter-rater agreement. Reproducibility of the responses over time was also assessed.

RESULTS:

Five of the 10 responses received a 'completely accurate' grade by two-fellowship trained surgeons with three additional replies receiving a 'completely accurate' status by at least one. Moreover, inter-rater reliability accuracy assessment revealed a moderate agreement between fellowship-trained attending physicians (weighted kappa = 0.57, 95% confidence interval 0.15-0.99). Additionally, 80% of the responses were reproducible over time.

CONCLUSION:

ChatGPT can be considered an accurate additional tool to answer general patient questions regarding ACL surgery. None the less, patient-surgeon interaction should not be deferred and must continue to be the driving force for information retrieval. Thus, the general recommendation is to address any questions in the presence of a qualified specialist.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Knee Journal subject: ORTOPEDIA Year: 2024 Document type: Article Affiliation country: United States Country of publication: Netherlands

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Knee Journal subject: ORTOPEDIA Year: 2024 Document type: Article Affiliation country: United States Country of publication: Netherlands