Artificial Intelligence for Automated Implant Identification in Knee Arthroplasty: A Multicenter External Validation Study Exceeding 3.5 Million Plain Radiographs

Karnuta, Jaret M.; Shaikh, Hashim J.F.; Murphy, Michael P.; Brown, Nicholas; Pearle, Andrew D.; Nawabi, Danyal H.; Chen, Antonia F.; Ramkumar, Prem N.

doi:10.1016/j.arth.2023.03.039

Cited by 4 publications

(1 citation statement)

References 37 publications

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“…Another study by Patel et al 18 highlighted that the AI model for orthopaedic implant identification performed superior to five orthopaedic specialists with an accuracy of 98.9% vs. 76.1%. Karnuta et al 19 demonstrated that their deep learning system was able to discriminate between 9 implant models with an accuracy of 97.4% and classify the models at a speed of 0.02 seconds per image.…”

Section: Joint Surgerymentioning

confidence: 99%

A comprehensive exploration of artificial intelligence in orthopaedics within lower-middle-income countries: a narrative review

Umm E Salma Shabbar Banatwala,

Muhammad Talal Ibrahim,

Reyan Hussain Shaikh

et al. 2024

J Pak Med Assoc

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Integrating Artificial Intelligence (AI) in orthopaedic within lower-middle-income countries (LMICs) promises landmark improvement in patient care. Delving into specific use cases—fracture detection, spine imaging, bone tumour classification, and joint surgery optimisation—the review illuminates the areas where AI can significantly enhance orthopaedic practices. AI could play a pivotal role in improving diagnoses, enabling early detection, and ultimately enhancing patient outcomes— crucial in regions with constrained healthcare services. Challenges to the integration of AI include financial constraints, shortage of skilled professionals, data limitations, and cultural and ethical considerations. Emphasising AI's collaborative role, it can act as a complementary tool working in tandem with physicians, aiming to address gaps in healthcare access and education. We need continued research and a conscientious approach, envisioning AI as a catalyst for equitable, efficient, and accessible orthopaedic healthcare for patients in LMICs. Keywords: Artificial Intelligence, Orthopaedics, Health Services, Patient Care, Bone Neoplasms, Physicians, precision medicine; predictive analysis

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Section: Joint Surgerymentioning

confidence: 99%