ReviewFrontiers of medicine2020
Current applications of artificial intelligence for intraoperative decision support in surgery.
Review in Frontiers of medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
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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.
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Who cites it
25 citing papers in PubMed.
- Multicenter fine annotated surgical video dataset for minimally invasive glaucoma surgery.Scientific data · 2026Article
- An interpretable whole-stream video based deep learning framework for surgical skill assessment of basic procedural elements.International journal of surgery (London, England) · 2026Article
- Reliability and readability of AI platforms for pediatric health advice: a comparative analysis.Scientific reports · 2026Article
- Decoding the OR Black Box and Similar Technologies and Considerations in Otolaryngologic Surgery.Laryngoscope investigative otolaryngology · 2026Review
- Performance evaluation of generative pre-trained transformer on the National Veterinary Licensing Examination in Japan.Scientific reports · 2026Article
- Improving surgical phase recognition using self-supervised deep learning.Scientific reports · 2025Article
- [Validation of artificial intelligence algorithms for the surgical practice].Chirurgie (Heidelberg, Germany) · 2025Review
- A structured evaluation of LLM-generated step-by-step instructions in cadaveric brachial plexus dissection.BMC medical education · 2025Article
- Large language models in perioperative medicine-applications and future prospects: a narrative review.Canadian journal of anaesthesia = Journal canadien d'anesthesie · 2025Review
- Artificial intelligence in surgical practice: Truth beyond fancy covering.Turkish journal of surgery · 2025Article
- Attitudes and Readiness for Artificial Intelligence Adoption Among Nursing Students in Saudi Arabia: A Cross-Sectional Study.Journal of multidisciplinary healthcare · 2025Article
- The Role of Artificial Intelligence on Tumor Boards: Perspectives from Surgeons, Medical Oncologists and Radiation Oncologists.Current oncology (Toronto, Ont.) · 2024Review
- Large Language Models for Intraoperative Decision Support in Plastic Surgery: A Comparison between ChatGPT-4 and Gemini.Medicina (Kaunas, Lithuania) · 2024Article
- Role of Artificial Intelligence in Surgical Decision-Making: A Comprehensive Review.Galen medical journal · 2024Review
- Surgical Frontiers: A Comparative Review of Robotics Versus Laparoscopy in Gynecological Interventions.Cureus · 2023Review
- Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study.Journal of medical Internet research · 2023Article
- Artificial intelligence in surgery: A research team perspective.Current problems in surgery · 2022Article
- Surgical data science - from concepts toward clinical translation.Medical image analysis · 2022Review
- Application of artificial intelligence in cataract management: current and future directions.Eye and vision (London, England) · 2022Review
- Application of Artificial Intelligence in Medicine: An Overview.Current medical science · 2021Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Research into medical artificial intelligence (AI) has made significant advances in recent years, including surgical applications. This scoping review investigated AI-based decision support systems targeted at the intraoperative phase of surgery and found a wide range of technological approaches applied across several surgical specialties. Within the twenty-one (n = 21) included papers, three main categories of motivations were identified for developing such technologies: (1) augmenting the information available to surgeons, (2) accelerating intraoperative pathology, and (3) recommending surgical steps. While many of the proposals hold promise for improving patient outcomes, important methodological shortcomings were observed in most of the reviewed papers that made it difficult to assess the clinical significance of the reported performance statistics. Despite limitations, the current state of this field suggests that a number of opportunities exist for future researchers and clinicians to work on AI for surgical decision support with exciting implications for improving surgical care.
Indexed as
Identifiers
32621201What 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.