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Mohammed H Al-Rumaih, Abdulrahman F Al-Otaibi, Tareq Almukhlafi | Cureus | (2026)

Key Takeaways

Plain English Takeaway

New ways to diagnose and treat bone and joint problems in children are making care safer, faster, and more personal, but more work is needed to make these advances available to all kids everywhere.

Study Aim

The review aims to present a comprehensive overview of the latest trends, recent findings, and future directions in diagnosing and managing pediatric orthopedic disorders (bone and joint problems in children). The authors focus on how new technologies and treatments are changing care, and they highlight both the progress made and the challenges that remain in making these advances widely available. Simply put: The paper looks at how new tools and treatments are helping doctors find and fix bone problems in kids, and what still needs to be improved.

Study Design

This is a structured literature review. The authors searched four major databases (Web of Science, PubMed, Scopus) for studies published from 2018 to 2025. They included research on children under 18 years old that focused on diagnosis, management, or progress of pediatric orthopedic conditions. Only high-quality studies, such as randomized controlled trials and systematic reviews, were included. After screening, 32 articles were selected to provide balanced evidence on key topics in the field. Simply put: The authors read and compared many recent studies about bone and joint care in children to see what works best.

Findings

The review demonstrates that new diagnostic tools, like high-resolution ultrasound, low-dose cone-beam computed tomography (CBCT), and artificial intelligence (AI), are making it easier and safer to detect conditions such as developmental dysplasia of the hip (DDH), scoliosis, and fractures in children. Treatments are shifting toward less invasive, growth-preserving methods, such as the Ponseti technique for clubfoot, Pavlik harness for DDH, and magnetically controlled growing rods for scoliosis. Innovations like bioabsorbable fixation, virtual surgical planning, and biologics (for example, platelet-rich plasma) are improving healing and reducing complications. However, the authors note that challenges remain, including limited access to advanced technologies in low-resource settings, the need for more validation of AI tools, and workforce shortages. They recommend further research, especially multicenter trials, and stress the importance of making these advances accessible to all children. Future directions include validated AI, regenerative stem cell therapies, 3D-printed implants, robotics, and genetic treatments. Simply put: New tests and treatments are helping kids heal better and faster, but doctors need to make sure everyone can use these tools and keep testing them to be sure they work.

Abstract

Congenital disorders, such as clubfoot, developmental dysplasia of the hip (DDH), and developmental problems, such as scoliosis, traumatic fractures, infections, tumors, neuromuscular dysfunction, and sports injuries, are all pediatric orthopedic disorders that impact millions of children around the world and can cause a lifetime of musculoskeletal disability unless they are treated early. These disorders are caused by genetic, biomechanical, and environmental factors that affect developing bones and joints. The review is a synthesis of recent developments during the 2018-2025 period, drawing on major studies from major databases. Radiation-free methods, such as high-resolution ultrasound in DDH, low-dose cone-beam computed tomography (CBCT) in fractures, fast magnetic resonance imaging (MRI) protocols, and artificial intelligence (AI)-based models have been shown to improve diagnosis with 90-98% accuracy in fracture detection, scoliosis classification, and bone age assessment. Trends in management focus on minimally invasive, growth-preservation strategies. The Ponseti technique and Pavlik harnesses remain very effective for clubfoot and DDH, and surgeries for scoliosis are minimized with magnetically controlled growing rods. Bioabsorbable fixation, virtual surgical planning (minimizing operating time and fluoroscopy), and biologics like platelet-rich plasma help promote improved healing with fewer complications. The innovations will reduce morbidity and improve long-term outcomes by providing personalized, evidence-based care. Nevertheless, the issues persist, including the lack of AI validation, access disparities in low-resource environments, and the need for more rigorous multicenter trials. The future outlook is validated AI integration, regenerative stem cell therapies, 3D-printed personalized implants, robotics, and genetic treatment to bring care to all children more equitably and effectively.

Referenced In

🍼 Why reading baby hip ultrasounds is harder than you think—and how AI is stepping in to help.

Ever had an ultrasound? Now imagine trying to get a perfect picture of a squirming infant's hip joint while they're crying and moving. That's the reality of screening for developmental dysplasia of the hip (DDH), a condition affecting 1–3% of babies that can cause lifelong disability if missed.

The problem? 🎯 Too few experts, too many babies, and results that vary wildly depending on who's holding the probe.

A new systematic review & meta-analysis by Azmi et al., 2026, just published in Pediatric Radiology, brings together the strongest evidence yet on AI-assisted infant hip ultrasound—and the results are promising:

🔍 Key Findings from Azmi et al. (2026):

  • High diagnostic accuracy: Pooled sensitivity 92% (95% CI 86–95%) and specificity 96% (95% CI 91–98%) across 9 studies with 6,351 hips

    • Compiled 29 studies but analysed only 9 who provided 2×2 data using bivariate random-effects model.

  • Fast to learn: Operators need only ~1–2 hours of training to use AI-assisted systems

  • Quicker scans: Acquisition times drop by 20–50%

🤩 Compared to other reviews like Bhavsar et al., 2025 & Kamath et al., 2026, this meta-analysis analysed raw imaging data rather than final statistical predictions, making this a promising census for DDH. The authors then close the discussion by calling for multi-centre trials - testing that spans across different hospitals and environments.

What's your take? Is AI ready to assist or even replace the expert eye?

Fun Fact🤓: The "Graf method" requires precise positioning and angle measurements that take years to master. Miss the angle by a few degrees, and you miss the diagnosis or even send healthy babies for unnecessary treatments.

  • A 2022 paper by Oelen et al., 2022 claims that AI precision outperforms trained physicians, with an error of 3.9° vs. physician error of 7.1° for alpha angles

If you'd like a comprehensive read on the current trends in paediatric orthopaedic disorders, check out this review on recent developments: Current Trends and Future Directions in the Diagnosis and Management of Pediatric Orthopedic Disorders

Image credit: kidshealth.org

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