ReviewVisceral medicine2020
Artificial Intelligence-Assisted Surgery: Potential and Challenges.
Review in Visceral medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed.
- Artificial Intelligence in Vascular Surgery: A Literature Review Focusing on Current Applications, Imaging Advances and Future Prospects.Journal of clinical medicine · 2026Review
- Artificial intelligence in gastrointestinal and hepatopancreatobiliary surgery: innovations, integration, and future directions.Annals of medicine and surgery (2012) · 2026Review
- Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Tidal Volume Monitoring via Surface Motions of the Upper Body-A Pilot Study of an Artificial Intelligence Approach.Sensors (Basel, Switzerland) · 2025Article
- Robotic-Assisted Vascular Surgery: A Clinical Perspective.Methodist DeBakey cardiovascular journal · 2025Review
- Technological Advancements in Augmented, Mixed, and Virtual Reality Technologies for Surgery: A Systematic Review.Cureus · 2024Review
- Review
- The Millennia-Long Development of Drugs Associated with the 80-Year-Old Artificial Intelligence Story: The Therapeutic Big Bang?Molecules (Basel, Switzerland) · 2024Review
- Artificial intelligence for automatic surgical phase recognition of laparoscopic gastrectomy in gastric cancer.International journal of computer assisted radiology and surgery · 2024Article
- Revolutionizing patient care: the harmonious blend of artificial intelligence and surgical tradition.International journal of clinical and experimental pathology · 2024Article
- Automated surgical step recognition in transurethral bladder tumor resection using artificial intelligence: transfer learning across surgical modalities.Frontiers in artificial intelligence · 2024Article
- Vascular and Urinary Tract Anatomic Variants Relevant to Para-Aortic Lymphadenectomy in Women with Gynecological Cancers.Cancers · 2023Article
- Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design.Pharmaceutics · 2023Review
- Laparoscopic Video Analysis Using Temporal, Attention, and Multi-Feature Fusion Based-Approaches.Sensors (Basel, Switzerland) · 2023Article
- A Systematic Review of Artificial Intelligence Applications in Plastic Surgery: Looking to the Future.Plastic and reconstructive surgery. Global open · 2022Article
- Artificial Intelligence in Dermatology Image Analysis: Current Developments and Future Trends.Journal of clinical medicine · 2022Review
- Challenges of Implementing Artificial Intelligence in Interventional Radiology.Seminars in interventional radiology · 2021Review
- Artificial intelligence in perioperative management of major gastrointestinal surgeries.World journal of gastroenterology · 2021Review
- Artificial Intelligence in Medicine: Passing Hype or the Holy Grail of Solutions?Visceral medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundArtificial intelligence (AI) has recently achieved considerable success in different domains including medical applications. Although current advances are expected to impact surgery, up until now AI has not been able to leverage its full potential due to several challenges that are specific to that field. SUMMARY: This review summarizes data-driven methods and technologies needed as a prerequisite for different AI-based assistance functions in the operating room. Potential effects of AI usage in surgery will be highlighted, concluding with ongoing challenges to enabling AI for surgery. KEY MESSAGES: AI-assisted surgery will enable data-driven decision-making via decision support systems and cognitive robotic assistance. The use of AI for workflow analysis will help provide appropriate assistance in the right context. The requirements for such assistance must be defined by surgeons in close cooperation with computer scientists and engineers. Once the existing challenges will have been solved, AI assistance has the potential to improve patient care by supporting the surgeon without replacing him or her.
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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.