AIMC Topic: Laparoscopy
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Artificial Intelligence Recognition System of Pelvic Autonomic Nerve During Total Mesorectal Excision.
Diseases of the colon and rectum
Dec 23, 2024
BACKGROUND: The preservation of the pelvic autonomic nervous system in total mesorectal excision remains challenging to date. The application of laparoscopy has enabled visualization of fine anatomical structures; however, the rate of urogenital dysf...
Stimulated Raman Histology and Artificial Intelligence Provide Near Real-Time Interpretation of Radical Prostatectomy Surgical Margins.
The Journal of urology
Dec 17, 2024
PURPOSE: Balancing surgical margins and functional outcomes is crucial during radical prostatectomy for prostate cancer. Stimulated Raman histology (SRH) is a novel, real-time imaging technique that provides histologic images of fresh, unprocessed, a...
SeeSaw: Learning Soft Tissue Deformation From Laparoscopy Videos With GNNs.
IEEE transactions on bio-medical engineering
Nov 21, 2024
A major challenge in image-guided laparoscopic surgery is that structures of interest often deform and go, even if only momentarily, out of view. Methods which rely on having an up-to-date impression of those structures, such as registration or local...
Deep learning-based automatic bleeding recognition during liver resection in laparoscopic hepatectomy.
Surgical endoscopy
Nov 18, 2024
BACKGROUND: Intraoperative hemorrhage during laparoscopic hepatectomy (LH) is a risk factor for negative postoperative outcomes. Ensuring appropriate hemostasis enhances the safety of surgical procedures. An automatic bleeding recognition system base...
Real-time segmentation of biliary structure in pure laparoscopic donor hepatectomy.
Scientific reports
Sep 28, 2024
Pure laparoscopic donor hepatectomy (PLDH) has become a standard practice for living donor liver transplantation in expert centers. Accurate understanding of biliary structures is crucial during PLDH to minimize the risk of complications. This study ...
Autonomous countertraction for secure field of view in laparoscopic surgery using deep reinforcement learning.
International journal of computer assisted radiology and surgery
Sep 16, 2024
PURPOSE: Countertraction is a vital technique in laparoscopic surgery, stretching the tissue surface for incision and dissection. Due to the technical challenges and frequency of countertraction, autonomous countertraction has the potential to signif...
Integrating StEP-COMPAC definition and enhanced recovery after surgery status in a machine-learning-based model for postoperative pulmonary complications in laparoscopic hepatectomy.
Anaesthesia, critical care & pain medicine
Sep 13, 2024
BACKGROUND: Postoperative pulmonary complications (PPCs) contribute to high mortality rates and impose significant financial burdens. In this study, a machine learning-based prediction model was developed to identify patients at high risk of developi...
Automated surgical skill assessment in colorectal surgery using a deep learning-based surgical phase recognition model.
Surgical endoscopy
Aug 30, 2024
BACKGROUND: There is an increasing demand for automated surgical skill assessment to solve issues such as subjectivity and bias that accompany manual assessments. This study aimed to verify the feasibility of assessing surgical skills using a surgica...
A machine learning-based prediction model for delayed clinically important postoperative nausea and vomiting in high-risk patients undergoing laparoscopic gastrointestinal surgery.
American journal of surgery
Aug 20, 2024
BACKGROUND: Delayed clinically important postoperative nausea and vomiting (CIPONV) could lead to significant consequences following surgery. We aimed to develop a prediction model for it using machine learning algorithms utilizing perioperative data...
Artificial intelligence facilitates the potential of simulator training: An innovative laparoscopic surgical skill validation system using artificial intelligence technology.
International journal of computer assisted radiology and surgery
Aug 19, 2024
PURPOSE: The development of innovative solutions, such as simulator training and artificial intelligence (AI)-powered tutoring systems, has significantly changed surgical trainees' environments to receive the intraoperative instruction necessary for ...
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