AIMC Topic: Laparoscopy

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Surgical augmented reality registration methods: A review from traditional to deep learning approaches.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Augmented Reality (AR) has gained significant interest within the research community in the past two decades. In surgery, AR overlays critical information directly onto the surgeon's visual field, thus enhancing situational awareness by providing nav...

AI-assisted intraoperative navigation for safe right liver mobilization in pure laparoscopic donor hepatectomy: an experimental multi-institutional validation study.

Scientific reports
Minimally invasive liver surgery (MILS) offers significant benefits but faces limited adoption due to its steep learning curve. This study explores the potential of artificial intelligence (AI) in assisting the performance of major MILS by providing ...

Minimally invasive surgery: a historical and legal perspective on technological transformation.

Journal of robotic surgery
Minimally Invasive Surgery (MIS) has experienced a significant evolution over the last 5,000 years, progressing from basic manual methods to sophisticated, robot-assisted approaches. The evolution of minimally invasive surgery (MIS) has been influenc...

Surgical embodied intelligence for generalized task autonomy in laparoscopic robot-assisted surgery.

Science robotics
Surgical robots capable of autonomously performing various tasks could enhance efficiency and augment human productivity in addressing clinical needs. Although current solutions have automated specific actions within defined contexts, they are challe...

Automated assessment of laparoscopic pattern cutting skills using computer vision and deep learning.

Surgery
BACKGROUND: Pattern cutting assessment in Fundamentals of Laparoscopic Surgery currently relies on manual measurement, which can be time-consuming and prone to variability and human error. An automated, objective assessment system could enhance the e...

Enhanced deep learning framework for real-time instrument detection and tracking in laparoscopic surgery using advanced augmentation and tracking techniques.

Surgical endoscopy
BACKGROUND: Accurate tracking and enumeration of surgical instruments are critical for patient safety and operational efficiency in laparoscopic procedures. Advanced tracking systems enhance object detection by maintaining instrument identity despite...

Landmark display system for laparoscopic inguinal hernia repair using artificial intelligence.

Surgical endoscopy
BACKGROUND: Chronic postoperative inguinal pain (CPIP) is a major complication of inguinal hernia repair and significantly affects patients' quality of life. Despite the widespread use of transabdominal preperitoneal repair (TAPP), CPIP still occurs....

Advances in intraoperative imaging technologies for complex biliary disease.

Seminars in pediatric surgery
Intraoperative imaging has enhanced the precision of biliary surgery in pediatric patients by improving visualization and reducing complications. This review examines intraoperative cholangiography (IOC), fluorescent cholangiography (FC) with indocya...

Understanding and acceptance of open, laparoscopic, and robotic surgery among nursing students: implications for educational curricula based on a mixed-methods study.

Journal of robotic surgery
This study aimed to assess university nursing students' knowledge and perceptions of open, laparoscopic, and robotic surgery applications. A simultaneous sequential nested quantitative-qualitative hybrid research method design was conducted. The sub-...

Deep learning neural network prediction of postoperative complications in patients undergoing laparoscopic right hemicolectomy with or without CME and CVL for colon cancer: insights from SICE (Società Italiana di Chirurgia Endoscopica) CoDIG data.

Techniques in coloproctology
BACKGROUND: Postoperative complications in colorectal surgery can significantly impact patient outcomes and healthcare costs. Accurate prediction of these complications enables targeted perioperative management, improving patient safety and optimizin...