Development of deep learning framework for anatomical landmark detection and guided dissection line during laparoscopic cholecystectomy

P Smithmaitrie, M Khaonualsri, W Sae-Lim… - Heliyon, 2024 - cell.com
Background Bile duct injuries during laparoscopic cholecystectomy can arise from
misinterpretation of biliary anatomy, leading to dissection in improper areas. The integration …

Development of an artificial intelligence system using deep learning to indicate anatomical landmarks during laparoscopic cholecystectomy

T Tokuyasu, Y Iwashita, Y Matsunobu, T Kamiyama… - Surgical …, 2021 - Springer
Background The occurrence of bile duct injury (BDI) during laparoscopic cholecystectomy
(LC) is an important medical issue. Expert surgeons prevent intraoperative BDI by identifying …

Efficient Segmentation of Intraoperative Anatomical Landmarks in Laparoscopic Cholecystectomy Based on Deep Learning

Z Yang, J Wen, D Huang, A Yang, R Zhang… - Available at SSRN …, 2024 - papers.ssrn.com
Background Laparoscopic cholecystectomy (LC) is the gold standard procedure for the
treatment of benign gallbladder diseases, but there is the risk of intraoperative bile duct …

[PDF][PDF] Artificial intelligence in laparoscopic cholecystectomy: does computer vision outperform human vision

R Liu, J An, Z Wang, J Guan, J Liu, J Jiang… - Artificial Intelligence …, 2022 - f.oaes.cc
Background: The occurrence of biliary duct injury (BDI) after laparoscopic cholecystectomy
(LC) remains 0.2-1.5%, which is largely caused by anatomic misidentifications. To solve this …

Towards reliable hepatocytic anatomy segmentation in laparoscopic cholecystectomy using U-Net with Auto-Encoder

KN Alkhamaiseh, JL Grantner, S Shebrain… - Surgical …, 2023 - Springer
Background Most bile duct (BDI) injuries during laparoscopic cholecystectomy (LC) occur
due to visual misperception leading to the misinterpretation of anatomy. Deep learning (DL) …

Development of a deep learning model for safe direct optical trocar insertion in minimally invasive surgery: an innovative method to prevent trocar injuries

S Jearanai, P Wangkulangkul, W Sae-Lim… - Surgical …, 2023 - Springer
Background Direct optical trocar insertion is a common procedure in laparoscopic minimally
invasive surgery. However, misinterpretations of the abdominal wall anatomy can lead to …

Laparoscope Manipulating Robot (LMR) Navigation using Deep Learning-based Surgical Instruments Detection

NN Myo, A Boonkong, D Hormdee… - 2022 Asia-Pacific …, 2022 - ieeexplore.ieee.org
During laparoscopic surgery, several items, including the laparoscope and all the surgical
instruments must be manipulated at the same time. This paper presents the implementation …

Endoscopic Surgical Operation and Object Detection Using Custom Architecture Models

V Krishnamurthy, S Balasubramanian… - … Conference on Human …, 2023 - Springer
2 million Americans have cholecystectomy each year. Surgeons need strong organ
visualization and training to prevent injuring other organs. Advances in computer hardware …

Artificial intelligence for surgical safety: automatic assessment of the critical view of safety in laparoscopic cholecystectomy using deep learning

P Mascagni, A Vardazaryan, D Alapatt, T Urade… - Annals of …, 2022 - journals.lww.com
Objective: To develop a deep learning model to automatically segment hepatocystic
anatomy and assess the criteria defining the critical view of safety (CVS) in laparoscopic …

Using artificial intelligence to identify surgical anatomy, safe zones of DISSection, and dangerous zones of DISSection during laparoscopic cholecystectomy

M Altieri, D Hashimoto, AM Rivera… - Journal of the …, 2020 - journals.lww.com
METHODS: LC videos were annotated by two high-volume surgeons and reviewed for
accuracy by a hepatobiliary surgeon. Liver, gallbladder, hepatocystic triangle, and safe (GO) …