ReviewBulletin of the Hospital for Joint Disease (2013)2026
Exploring the potential of artificial intelligence and machine learning in orthopaedic surgery.
Review in Bulletin of the Hospital for Joint Disease (2013), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
abstractArtificial intelligence (AI) has emerged as one of the most transformative technological forces in modern medicine, with rapidly expanding applications throughout medicine including orthopaedic surgery. Recent advances in machine learning, deep learning, and natural language processing have accelerated the development of AI-enabled tools with direct relevance to orthopaedic practice. This review provides a basic overview of how AI works and current uses of AI in medicine and orthopaedics across multiple domains including documentation efficiency, patient communication, operating room optimization, imaging analysis, rehabilitation, education, and research, and briefly describes AI's limitations, ethical and legal concerns, and cost. These applications are all already being used in orthopaedics or have clear direct translation. AI holds considerable potential to augment orthopaedic care by streamlining workflows, enhancing decision-making, and improving patient outcomes. However, responsible integration requires rigorous validation, transparency, clinician oversight, and ongoing education. As AI adoption accelerates, orthopaedic surgeons must critically evaluate emerging technologies to ensure that.
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.