ReviewArthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association2021
Clinical and Research Medical Applications of Artificial Intelligence.
Review in Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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
28 citing papers in PubMed.
- Review
- Explainable machine learning for hypertension prevalence classification: a cross-sectional study in Hainan Province, China.Frontiers in cardiovascular medicine · 2026Article
- Large Language Model–Assisted Risk-of-Bias Assessment in Randomized Controlled Trials Using the Revised Risk-of-Bias Tool: Evaluation Study.Journal of medical Internet research · 2025Article
- A practical guide to the implementation of AI in orthopaedic research-Part 7: Risks, limitations, safety and verification of medical AI systems.Journal of experimental orthopaedics · 2025Review
- Machine learning approach for the prediction of 30-day mortality in patients with sepsis-associated delirium.PloS one · 2025Article
- Large language model enhanced framework for systematic reviews and meta-analyses.BMJ digital health & AI · 2025Article
- Noninvasive Grading of Liver Fibrosis Based on Texture Analysis From MRI-Derived Radiomics.NMR in biomedicine · 2025Article
- Evaluation of the Factors Influencing Blood Transfusion during Minimally Invasive Direct Coronary Artery Bypass Surgery.Cardiology · 2025Article
- Article
- Review
- Article
- Application of Artificial Intelligence in Shoulder Pathology.Diagnostics (Basel, Switzerland) · 2024Review
- The Performance of ChatGPT on the American Society for Surgery of the Hand Self-Assessment Examination.Cureus · 2024Article
- Identifying Anterior Cruciate Ligament Injuries Through Automated Video Analysis of In-Game Motion Patterns.Orthopaedic journal of sports medicine · 2024Article
- Generative Artificial Intelligence Performs at a Second-Year Orthopedic Resident Level.Cureus · 2024Article
- Heart Murmur Classification Using a Capsule Neural Network.Bioengineering (Basel, Switzerland) · 2023Article
- Artificial intelligence in forensic medicine and forensic dentistry.The Journal of forensic odonto-stomatology · 2023Review
- Leishmania and Leishmaniasis Research: The Past 50 Years and the Future.Pathogens (Basel, Switzerland) · 2023Article
- Violation of expectations is correlated with satisfaction following hip arthroscopy.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2023Article
- Artificial intelligence-based applications in shoulder surgery leaves much to be desired: a systematic review.JSES reviews, reports, and techniques · 2023Review
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), including machine learning (ML), has transformed numerous industries through newfound efficiencies and supportive decision-making. With the exponential growth of computing power and large datasets, AI has transitioned from theory to reality in teaching machines to automate tasks without human supervision. AI-based computational algorithms analyze "training sets" using pattern recognition and learning from inputted data to classify and predict outputs that otherwise could not be effectively analyzed with human processing or standard statistical methods. Though widespread understanding of the fundamental principles and adoption of applications have yet to be achieved, recent applications and research efforts implementing AI have demonstrated great promise in predicting future injury risk, interpreting advanced imaging, evaluating patient-reported outcomes, reporting value-based metrics, and augmenting telehealth. With appreciation, caution, and experience applying AI, the potential to automate tasks and improve data-driven insights may be realized to fundamentally improve patient care. The purpose of this review is to discuss the pearls, pitfalls, and applications associated with AI.
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.