Integrating Artificial Intelligence in Orthopedic Care: Advancements in Bone Care and Future Directions

dc.contributor.authorKumar, Rahulen
dc.contributor.authorSporn, Kyleen
dc.contributor.authorOng, Joshuaen
dc.contributor.authorWaisberg, Ethanen
dc.contributor.authorPaladugu, Phanien
dc.contributor.authorVaja, Swapnaen
dc.contributor.authorHage, Tameren
dc.contributor.authorSekhar, Tejas C.en
dc.contributor.authorVadhera, Amar S.en
dc.contributor.authorNgo, Alexen
dc.contributor.authorZaman, Nasifen
dc.contributor.authorTavakkoli, Alirezaen
dc.contributor.authorMasalkhi, Mouayaden
dc.date.accessioned2025-05-27T19:10:09Zen
dc.date.available2025-05-27T19:10:09Zen
dc.date.issued2025-05-13en
dc.date.updated2025-05-27T12:54:02Zen
dc.description.abstractArtificial intelligence (AI) is revolutionizing the field of orthopedic bioengineering by increasing diagnostic accuracy and surgical precision and improving patient outcomes. This review highlights using AI for orthopedics in preoperative planning, intraoperative robotics, smart implants, and bone regeneration. AI-powered imaging, automated 3D anatomical modeling, and robotic-assisted surgery have dramatically changed orthopedic practices. AI has improved surgical planning by enhancing complex image interpretation and providing augmented reality guidance to create highly accurate surgical strategies. Intraoperatively, robotic-assisted surgeries enhance accuracy and reduce human error while minimizing invasiveness. AI-powered smart implant sensors allow for in vivo monitoring, early complication detection, and individualized rehabilitation. It has also advanced bone regeneration devices and neuroprosthetics, highlighting its innovation capabilities. While AI advancements in orthopedics are exciting, challenges remain, like the need for standardized surgical system validation protocols, assessing ethical consequences of AI-derived decision-making, and using AI with bioprinting for tissue engineering. Future research should focus on proving the reliability and predictability of the performance of AI-pivoted systems and their adoption within clinical practice. This review synthesizes recent developments and highlights the increasing impact of AI in orthopedic bioengineering and its potential future effectiveness in bone care and beyond.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationKumar, R.; Sporn, K.; Ong, J.; Waisberg, E.; Paladugu, P.; Vaja, S.; Hage, T.; Sekhar, T.C.; Vadhera, A.S.; Ngo, A.; Zaman, N.; Tavakkoli, A.; Masalkhi, M. Integrating Artificial Intelligence in Orthopedic Care: Advancements in Bone Care and Future Directions. Bioengineering 2025, 12, 513.en
dc.identifier.doihttps://doi.org/10.3390/bioengineering12050513en
dc.identifier.urihttps://hdl.handle.net/10919/134237en
dc.language.isoenen
dc.publisherMDPIen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleIntegrating Artificial Intelligence in Orthopedic Care: Advancements in Bone Care and Future Directionsen
dc.title.serialBioengineeringen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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