سامانه مدیریت نشریات علمی دانشگاه علوم پزشکی مشهد

Moallem, Seyed Mohammad Hassan. (1404). Artificial Intelligence and the State of the Art of Orthopedic Surgery. , 13(10), 668-669. doi: 10.22038/abjs.2025.90701.4108
Seyed Mohammad Hassan Moallem. "Artificial Intelligence and the State of the Art of Orthopedic Surgery". , 13, 10, 1404, 668-669. doi: 10.22038/abjs.2025.90701.4108
Moallem, Seyed Mohammad Hassan. (1404). 'Artificial Intelligence and the State of the Art of Orthopedic Surgery', , 13(10), pp. 668-669. doi: 10.22038/abjs.2025.90701.4108
Moallem, Seyed Mohammad Hassan. Artificial Intelligence and the State of the Art of Orthopedic Surgery. , 1404; 13(10): 668-669. doi: 10.22038/abjs.2025.90701.4108

Artificial Intelligence and the State of the Art of Orthopedic Surgery

The Archives of Bone and Joint Surgery
مقاله 12، دوره 13، شماره 10، دی 2025، صفحه 668-669    اصل مقاله (434.68 K)
نوع مقاله: LETTER TO THE EDITOR
شناسه دیجیتال (DOI): 10.22038/abjs.2025.90701.4108
نویسنده
Seyed Mohammad Hassan Moallem*
Orthopedics Research Center, Ghaem Hospital, Mashhad University of Medical Sciences, Mashhad, Iran
چکیده
This letter responds to the review "Artificial Intelligence and the State of the Art of Orthopedic Surgery" by Khojastehnezhad et al. While commending the authors, this correspondence highlights critical areas needing further discussion: the risk of healthcare inequity due to implementation barriers, the imperative to preserve fundamental surgical skills, and unresolved medicolegal implications of AI-assisted decisions. It calls for robust prospective RCTs and a balanced approach to integrating AI, ensuring innovation complements rather than compromises clinical expertise and equitable care.
کلیدواژه‌ها
Artificial Intelligence؛ Orthopedic Surgery؛ Healthcare Disparities؛ Clinical Competence؛ Medicolegal Issues
مراجع
  1. Khojastehnezhad MA, Youseflee P, Moradi A, Ebrahimzadeh MH, Jirofti N. Artificial Intelligence and the State of the Art of Orthopedic Surgery. Arch Bone Jt Surg. 2025;13(1):17-22. doi: 10.22038/ABJS.2024.84231.3829.
  2. Khani Y, Bisadi A, Salmani A, et al. Can Artificial Intelligence Reliably and Accurately Measure Lower Limb Alignment: A Systematic Review and Meta-Analysis. Arch Bone Jt Surg. 2025;13(7):383-394. doi:10.22038/abjs.2025.84846.3864.
  3. Yao JJ, Lopez RD, Rizk AA, Aggarwal M, Namdari S. Evaluation of a Popular Large Language Model in Orthopedic Literature Review: Comparison to Previously Published Reviews. Arch Bone Jt Surg. 2025;13(8):460-469. doi:10.22038/abjs.2025.84896.3874.
آمار
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