ReviewBioengineering (Basel, Switzerland)2025
Current Advances of Artificial Intelligence and Machine Learning in Orthopaedics: A Focus on Hip Surgery.
Review in Bioengineering (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- High Accuracy, Questionable References: Large Language Models' Performance and Citation Reliability in Foot and Ankle Surgery Examinations.Foot & ankle orthopaedics · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, we assisted the exploitation of Artificial Intelligence (AI) that invasively pervades in several instances of everyday life. The potential of this technology promises the automation of human tasks increasing accuracy and efficiency. The integration of AI systems in the orthopaedic field is becoming more and more a concrete reality, so this topic is gaining increasing interest by the scientific community. More and more authors are testing the power of AI in orthopaedics, exploiting the application in routine workflow, and asking if AI could improve clinical and surgical practice. In this brief narrative review, the state-of-art of AI in hip district orthopaedics is presented, particularly focusing on the application of AI tools in the context of radiological images, early diagnosis, clinical datasets, and around operative theatre. Possible future development of AI-hip pathology management is exposed too, and clear doubts about exploits of these tools in clinical practice are also exposed.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.