Completed Study Compares GPT-4 Against Orthopaedic Surgeons in Failed Hip Arthroplasty Diagnosis — Results Pending

References

1. 1.ClinicalTrials.gov. (2024). Observational Study on the Accuracy and Completeness of General Artificial Intelligence in the Diagnosis and Therapeutic Recommendations for Failed or Painful Total Hip Arthroplasty. ClinicalTrials.gov. https://clinicaltrials.gov/study/NCT07012577
2. 2.Ramkumar, P. N., Karnuta, J. M., & Navarro, S. M. (2019). Artificial intelligence and arthroplasty at a single institution: real-world applications of machine learning to big data, value-based care, mobile health, and remote patient monitoring. Journal of Arthroplasty, 34(10), 2204-2209. https://doi.org/10.1016/j.arth.2019.03.018
3. 3.Parvizi, J., Tan, T. L., Goswami, K., Higuera, C., Della Valle, C., Chen, A. F., & Shohat, N. (2018). The 2018 definition of periprosthetic hip and knee infection: an evidence-based and validated criteria. Journal of Arthroplasty, 33(5), 1309-1314. https://doi.org/10.1016/j.arth.2018.02.078
4. 4.Bozic, K. J., Kurtz, S. M., Lau, E., Ong, K., Chiu, V., Vail, T. P., ... & Berry, D. J. (2010). The epidemiology of revision total hip arthroplasty in the United States. Journal of Bone and Joint Surgery, 92(15), 2614-2618. https://doi.org/10.2106/JBJS.I.00155
5. 5.Tande, A. J., & Patel, R. (2014). Prosthetic joint infection. Clinical Microbiology Reviews, 27(2), 302-345. https://doi.org/10.1128/CMR.00111-13