ReviewFrontiers in surgery2025
Artificial intelligence integration in surgery through hand and instrument tracking: a systematic literature review.
Review in Frontiers in surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 4 of them syntheses 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
18 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Artificial intelligence applications in surgical education and training: a systematic review.Frontiers in artificial intelligence · 2026Pooled it
- Association of hormone therapy with spheno-orbital meningiomas: bridging evidence and unknowns.Frontiers in oncology · 2026Pooled it
- Deep learning in neurosurgery: a systematic literature review with a structured analysis of applications across subspecialties.Frontiers in neurology · 2025Pooled it
- A systematic review of penetrating injuries to the superior sagittal sinus across two centuries.Frontiers in neurologyPooled it
- Artificial Intelligence Applications in Mental Health: A Systematic Review of Clinical Practice, Educational Transformation, and Ethical Governance.Healthcare (Basel, Switzerland) · 2026Review
- The low data fidelity of human-based informatics in surgical instrument waste reduction: is it time for objective computer vision integration?BMC health services research · 2026Observational
- Objective Assessment of Surgical Skill Using Artificial Intelligence Hand Tracking in Cardiothoracic Training: A Feasibility Study.Interdisciplinary cardiovascular and thoracic surgery · 2026Article
- Review
- Deep learning in ventral hernia imaging: automated multi-structure CT segmentation for surgical planning.Journal of abdominal wall surgery : JAWS · 2026Article
- Artificial intelligence and robotic technologies redefining precision and personalization in orthopedic surgery: a narrative review.Frontiers in bioengineering and biotechnology · 2026Review
- Intracranial mycotic aneurysms in pediatric patients: A systematic review.Surgical neurology international · 2026Review
- Article
- Surgery of craniosynostosis: a historical review.Annals of medicine and surgery (2012) · 2025Review
- Artificial intelligence in healthcare: applications, challenges, and future directions. A narrative review informed by international, multidisciplinary expertise.Frontiers in digital health · 2025Review
- Telemetric intracranial pressure monitoring in patients with hydrocephalus: a systematic literature review.Frontiers in pediatrics · 2025Review
- Inter-observer agreement in interpreting intraoperative ultrasonography during brain tumour surgery.Frontiers in surgery · 2025Article
- MRI machine learning model predicts nerve root sedimentation in lumbar stenosis: a prospective study.Frontiers in neurology · 2025Article
- From severity scoring to predictive analytics: the emerging role of AI in neurosurgery.Frontiers in neurologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This systematic literature review of the integration of artificial intelligence (AI) applications in surgical practice through hand and instrument tracking provides an overview of recent advancements and analyzes current literature on the intersection of surgery with AI. Distinct AI algorithms and specific applications in surgical practice are also examined. Methods: An advanced search using medical subject heading terms was conducted in Medline (via PubMed), SCOPUS, and Embase databases for articles published in English. A strict selection process was performed, adhering to PRISMA guidelines. Results: A total of 225 articles were retrieved. After screening, 77 met inclusion criteria and were included in the review. Use of AI algorithms in surgical practice was uncommon during 2013-2017 but has gained significant popularity since 2018. Deep learning algorithms ( Conclusion: AI technologies can be tailored to address distinct needs in surgical education and patient care. The use of AI in hand and instrument tracking improves surgical outcomes by optimizing surgical skills training. It is essential to acknowledge the current technical and social limitations of AI and work toward filling those gaps in future studies.
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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.