ReviewCureus2025
Artificial Intelligence in Trauma and Orthopaedic Surgery: A Comprehensive Review From Diagnosis to Rehabilitation.
Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Digital Therapeutics for Postoperative Rehabilitation after Arthroscopic Rotator Cuff Repair: A Single-Center, Assessor-Blinded, Randomized Pilot Study.Clinics in orthopedic surgery · 2026Trial
- Large Language Models for Ankle Fracture Classification and Management Prediction from Routine Clinical Documentation: A Single-Center Exploratory Study.Journal of imaging informatics in medicine · 2026Article
- Review
- Who Is the Surgeon Now: Human Hands or Machine Minds? Artificial Intelligence in Orthopedics from Diagnosis to Follow-Up-A Structured Narrative Review.Journal of clinical medicine · 2026Review
- Machine learning reveals an interleukin-33-associated immuno-metabolic axis defining recovery endotypes in severe combat trauma.Frontiers in immunology · 2026Article
- Review
- The Rise of Telemedicine in Orthopaedic Trauma Follow-Up Care and Its Long-Term Outcomes: A Narrative Review.Cureus · 2025Review
- Posterior Malleolar Fractures: From the "Forgotten Fragment" to Modern Concepts in Management.Cureus · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) has presented clinical maturity in healthcare applications. AI is reshaping orthopaedic practice by enhancing the speed and efficiency of clinical decision-making, surgical planning, and research workflows. AI enables clinicians to optimize the care pathway through rapid data processing, pattern recognition, and predictive modelling. This review examines the current AI applications across the entire spectrum of orthopaedic care and its contribution to patient care and resource utilization. Despite these promising developments, several barriers prevent widespread adoption, including concerns regarding algorithm transparency, data privacy, potential bias in training datasets, and implementation costs. The path forward requires the development of explainable AI systems that clinicians can trust and validate. As AI technology continues to evolve, success will depend on augmenting human judgment with machine precision to deliver optimal care for patients with musculoskeletal conditions.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.