Artificial Intelligence and the State of the Art of Orthopedic Surgery

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 pro...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Archives of bone and joint surgery Ročník 13; číslo 1; s. 17 - 22
Hlavní autoři: Khojastehnezhad, Mohammad Amin, Youseflee, Pouya, Moradi, Ali, Ebrahimzadeh, Mohammad H, Jirofti, Nafiseh
Médium: Journal Article
Jazyk:angličtina
Vydáno: Iran Mashhad University of Medical Sciences 2025
Témata:
Current Concepts Review
Robotic surgery
Orthopedics
Machine learning
Personalized treatment
Diagnostic imaging
Predictive modeling
Artificial intelligence
ISSN:2345-4644, 2345-461X
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
ObjectType-Review-3
content type line 23
ISSN:2345-4644
2345-461X
DOI:10.22038/ABJS.2024.84231.3829