ArticleIEEE journal of translational engineering in health and medicine2022
Smart Blood Vessel Detection System for Laparoscopic Surgery.
Article in IEEE journal of translational engineering in health and medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- AI-based automated bleeding monitoring in conventional and robot-assisted laparoscopic surgery: a systematic review.Journal of robotic surgery · 2026Pooled it
- Intelligent laparoscopic grasper with hybrid neural networks for real-time vascular detection in minimally invasive surgery.Journal of biomedical optics · 2025Article
- Adaptive sensitivity-fisher regularization for heterogeneous transfer learning of vascular segmentation in laparoscopic videos.International journal of computer assisted radiology and surgery · 2025Article
- Optimizing Anesthetic Management for Laparoscopic Surgery: A Comprehensive Review.Medical science monitor : international medical journal of experimental and clinical research · 2024Review
- Feeling of pulsations in artificial arteries with a real time haptic feedback laparoscopic grasper: a validation study.Surgical endoscopy · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveCompared with traditional surgery, laparoscopic surgery offers the advantages of smaller scars and rapid recovery and has gradually become popular. However, laparoscopic surgery has the limitation of low visibility and a lack of touch sense. As such, a physician may unexpectedly damage blood vessels, causing massive bleeding. In clinical settings, Doppler ultrasound is commonly used to detect vascular locations, but this approach is affected by the measuring angle and bone shadow and has poor ability to distinguish arteries from veins. To tackle these problems, a smart blood vessel detection system for laparoscopic surgery is proposed.
methodsBased on the principle of near-infrared spectroscopy, the proposed instrument can access hemoglobin (HbT) parameters at several depths simultaneously and recognize human tissue type by using a neural network.
resultsUsing the differences in HbT and StO
conclusionThe proposed system has high ability to distinguish vascular from avascular locations at various depths.
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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.