ReviewMusculoskeletal surgery2025
Artificial intelligence in orthopedic research assistance: a resident's perspective.
Review in Musculoskeletal surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence in orthopaedic education, training and research: a systematic review.BMC medical education · 2025Pooled it
- Exploring the potential of artificial intelligence and machine learning in orthopaedic surgery.Bulletin of the Hospital for Joint Disease (2013) · 2026Review
- ChatGPT delivers mostly satisfactory but occasionally inaccurate and potentially unsafe answers to hip arthroscopy questions during the surgeon's learning curve.Journal of experimental orthopaedics · 2026Article
- Artificial intelligence and robotic technologies redefining precision and personalization in orthopedic surgery: a narrative review.Frontiers in bioengineering and biotechnology · 2026Review
- Artificial Intelligence in Orthopedic Surgery: Current Applications, Challenges, and Future Directions.MedComm · 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) is transforming orthopedic research by optimizing academic workflows, improving evidence synthesis, and expanding access to advanced data analysis tools. Generative AI models such as ChatGPT and GPT-4, alongside specialized platforms such as Consensus and SciSpace, empower researchers to refine search queries, enhance literature reviews, synthesize documents, and conduct advanced statistical analyses. These technologies enable the interpretation of large datasets, saving time and boosting efficiency. For orthopedic residents, AI is particularly impactful, revolutionizing their education and fostering greater independence in research. This review explores the key applications of AI as a research assistant in orthopedics, as well as its ethical considerations and challenges.
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.