ArticleSurgical endoscopy2025
Artificial intelligence-enhanced navigation for nerve recognition and surgical education in laparoscopic colorectal surgery.
Article in Surgical endoscopy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- First-in-human evaluation of real-time pixel-level AI-assisted anatomical segmentation in neurosurgery: pituitary surgery as an exemplar.Pituitary · 2026Article
- Histopathological proof-of-concept validation of AI-assisted peripheral neural track recognition during laparoscopic gastrointestinal surgery.Surgical endoscopy · 2026Article
- Impact of artificial intelligence intervention on awareness of anatomical landmarks in laparoscopic gastrectomy: An exploratory study.Surgical endoscopy · 2026Article
- Intraoperative real-time recognition of dissectible layers by artificial intelligence is useful in laparoscopic inguinal hernia repair.Surgical endoscopy · 2026Article
- AI-Assisted Recognition of Actual Ureteral and Pancreatic Injuries in Laparoscopic Colorectal Surgery: A Randomized Video Review Study.Annals of gastroenterological surgery · 2026Article
- Reply to: Surgical scene understanding and the emerging challenge of independent validation in an industry-led AI ecosystem.NPJ digital medicine · 2026Article
- Real-time near-infrared fluorescence-guided identification of the hypogastric nerve during robot-assisted nerve-sparing surgery for deep endometriosis.Journal of robotic surgery · 2026Article
- Generative AI-Assisted Indication of Anatomical Landmarks to Enhance Safety under Intraoperative Bleeding in Laparoscopic Gastrectomy for Gastric Cancer.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2026Article
- Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?Annals of gastroenterological surgery · 2026Review
- A High-Quality Endoscopic Image Dataset with Annotated Recurrent Laryngeal Nerve for AI-Assisted Thyroid Surgery.Scientific data · 2026Article
- Exploring the Impact of an Artificial Intelligence-Based Intraoperative Image Navigation System in Laparoscopic Surgery on Clinical Outcomes: A Protocol for a Multicenter Randomized Controlled Trial.European surgical research. Europaische chirurgische Forschung. Recherches chirurgicales europeennes · 2026Article
- Artificial intelligence for surgical scene understanding: a systematic review and reporting quality meta-analysis.NPJ digital medicine · 2025Article
- Technological Advances in Intra-Operative Navigation: Integrating Fluorescence, Extended Reality, and Artificial Intelligence.Journal of clinical medicine · 2025Review
- Real-time deep learning for tumor segmentation and tool tracking: development and validation of an AI navigation system in vacuum-assisted breast biopsy.World journal of surgical oncology · 2025Article
- [Translational challenges and clinical potential of artificial intelligence in minimally invasive surgery].Chirurgie (Heidelberg, Germany) · 2025Article
- Artificial intelligence-supported system of surgical anatomy recognition may facilitate the understanding of gastrointestinal surgery for medical students.Surgical endoscopy · 2025Article
- NeuroLens: organ localization using natural language commands for anatomical recognition in surgical training.International journal of computer assisted radiology and surgery · 2025Article
- Navigating the artificial intelligence (AI) era: a paradigm shift in clinical surgical education.Hepatobiliary surgery and nutrition · 2025Article
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7 authors.
Funding
Abstract
backgroundDevices that help educate young doctors and enable safe, minimally invasive surgery are needed. Eureka is a surgical artificial intelligence (AI) system that can intraoperatively highlight loose connective tissues (LCTs) in the dissected layers and nerves in the surgical field displayed on a monitor. In this study, we examined whether AI navigation (AIN) with Eureka can assist trainees in recognizing nerves during colorectal surgery.
methodsIn left-sided colorectal surgery (n = 51, between July 2023 and February 2024), Eureka was connected to the laparoscopic system side by side, and the nerve was highlighted on the monitor during the surgery. We examined the rate of failure to recognize nerves by trainee surgeons over a total of 101 scenarios after it was recognized intraoperatively by the supervising surgeon (certified by the Japanese Society of Endoscopic Surgery). We also examined the frequency of nerve recognition by the trainee physicians viewing the Eureka monitor when recognition was not possible (recognition assistance rate).
resultsThe nerve recognition failure rate and recognition assistance rate with AIN were as follows: right hypogastric nerve during sigmoid colon mobilization, 44/101 (43.6%) and 19/44 (43.2%); left hypogastric nerves during dissection of the dorsal rectum, 27/101 (26.7%) and 13/27 (48.1%); right lumbar splanchnic nerves, 32/101 (31.7%) and 29/32 (90.6%); left lumbar splanchnic nerves, 44/101 (43.6%) and 39/44 (88.6%); and pelvic visceral nerves during dissection of the dorsal rectum, 29/45 (64.4%) and 6/29 (20.7%), respectively.
conclusionAlthough the rate of recognition with assistance from AIN differed for the different nerves, this system can potentially assist in anatomic recognition, enhance surgical education, and contribute to nerve preservation.
trial registrationImprovement of AI navigation in minimally invasive surgery and examination of its intraoperative support and educational effectiveness. Research Ethics Committee of the Kawaguchi Municipal Medical Center (Saitama, Japan) approval number: 2022-27.
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