ReviewIndian journal of orthopaedics2026
Applications of Artificial Intelligence in Pediatric Orthopaedics.
Review in Indian journal of orthopaedics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
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Authors and funding
5 authors.
Funding
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Abstract
Background: Artificial Intelligence (AI) is transforming pediatric orthopedics by harnessing the power of technology to address the unique challenges associated with the growing musculoskeletal system and to adapt to modern healthcare delivery models. Purpose: This article reviews the literature on recent advancements in AI impacting paediatric orthopedic practices and summarizes our own experience in the development and application of AI in pediatric orthopedics. Discussion: AI-driven imaging techniques, such as automated ultrasound analysis, have significantly improved screening for developmental dysplasia of the hip (DDH) by enhancing accuracy and accessibility while minimizing radiation exposure. Similarly, machine learning has automated and improved diagnostic precision in complex assessments like bone age determination. In surgical planning, AI-powered robotic systems have optimized spinal instrumentation placement, reduced complications and enhance procedural accuracy. AI-based predictive modeling allows surgeons to develop personalized operative strategies through detailed 3D modeling and simulation, critical for pediatric deformity correction. Remote gait analysis via wearable sensors and smartphone-based video analytics facilitates continuous monitoring, personalized rehabilitation, and early complication detection. Clinical workflow efficiency is improved through AI-enhanced documentation, virtual assistants, and scheduling optimization tools. Conclusion: AI promises substantial benefits for pediatric orthopedic care. Integration allows for more precise diagnosis, treatment personalization, and positive long-term patient outcomes. Ongoing research should focus on clinical adoption strategies and expanding the scope of conditions to which the technology can be applied to maximize the benefit of AI in pediatric orthopedics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.