سامانه مدیریت نشریات علمی دانشگاه علوم پزشکی مشهد

Khojastehnezhad, Mohammad Amin, Youseflee, Pouya, Moradi, Ali, Jirofti, Nafiseh, Ebrahimzadeh, Mohammad H.. (1403). Artificial Intelligence and the State of the Art of Orthopedic Surgery. , 13(1), 17-22. doi: 10.22038/abjs.2024.84231.3829
Mohammad Amin Khojastehnezhad; Pouya Youseflee; Ali Moradi; Nafiseh Jirofti; Mohammad H. Ebrahimzadeh. "Artificial Intelligence and the State of the Art of Orthopedic Surgery". , 13, 1, 1403, 17-22. doi: 10.22038/abjs.2024.84231.3829
Khojastehnezhad, Mohammad Amin, Youseflee, Pouya, Moradi, Ali, Jirofti, Nafiseh, Ebrahimzadeh, Mohammad H.. (1403). 'Artificial Intelligence and the State of the Art of Orthopedic Surgery', , 13(1), pp. 17-22. doi: 10.22038/abjs.2024.84231.3829
Khojastehnezhad, Mohammad Amin, Youseflee, Pouya, Moradi, Ali, Jirofti, Nafiseh, Ebrahimzadeh, Mohammad H.. Artificial Intelligence and the State of the Art of Orthopedic Surgery. , 1403; 13(1): 17-22. doi: 10.22038/abjs.2024.84231.3829

Artificial Intelligence and the State of the Art of Orthopedic Surgery

The Archives of Bone and Joint Surgery
مقاله 3، دوره 13، شماره 1، فروردین 2025، صفحه 17-22    اصل مقاله (626.61 K)
نوع مقاله: CURRENT CONCEPTS REVIEW
شناسه دیجیتال (DOI): 10.22038/abjs.2024.84231.3829
نویسندگان
Mohammad Amin Khojastehnezhad1؛ Pouya Youseflee1؛ Ali Moradi2؛ Nafiseh Jirofti* 2؛ Mohammad H. Ebrahimzadeh* 2
11 Orthopedic Research Center, Department of Orthopedic Surgery, Mashhad University of Medical Sciences, Mashhad, Iran 2 Bone and Joint Research laboratory, Ghaem Hospital, Mashhad University of Medical Sciences, Mashhad, Iran
21 Orthopedic Research Center, Department of Orthopedic Surgery, Mashhad University of Medical Sciences, Mashhad, Iran 2 Bone and Joint Research laboratory, Ghaem Hospital, Mashhad University of Medical Sciences, Mashhad, Iran 3 Department of Regenerative Medicine and Cell Therapy, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
چکیده
Artificial Intelligence (AI) is rapidly transforming healthcare, particularly in orthopedics, by enhancing diagnostic accuracy, surgical planning, and personalized treatment. This review explores current applications of AI in orthopedics, focusing on its contributions to diagnostics and surgical procedures. Key methodologies such as artificial neural networks (ANNs), convolutional neural networks (CNNs), support vector machines (SVMs), and ensemble learning have significantly improved diagnostic precision and patient care. For instance, CNN-based models excel in tasks like fracture detection and osteoarthritis grading, achieving high sensitivity and specificity. In surgical contexts, AI enhances procedures through robotic assistance and optimized preoperative planning, aiding in prosthetic sizing and minimizing complications. Additionally, predictive analytics during postoperative care enable tailored rehabilitation programs that improve recovery times. Despite these advancements, challenges such as data standardization and algorithm transparency hinder widespread adoption. Addressing these issues is crucial for maximizing AI's potential in orthopedic practice. This review emphasizes the synergistic relationship between AI and clinical expertise, highlighting opportunities to enhance diagnostics and streamline surgical procedures, ultimately driving patient-centric care.
        Level of evidence: V
کلیدواژه‌ها
Artificial intelligence؛ Diagnostic imaging؛ Machine learning؛ Orthopedics؛ Personalized treatment؛ Predictive modeling؛ Robotic surgery
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