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Herniorrhaphy

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Safety and feasibility of emergency robot-assisted transabdominal preperitoneal repair for the treatment of incarcerated inguinal hernia: A retrospective study.

World journal of surgery
BACKGROUND: Few studies assessed robotic in emergency setting and no solid evidence was demonstrated. The aim of this study was to evaluate the feasibility and safety of robot-assisted transabdominal preperitoneal (R-TAPP) repair for the treatment of...

How Appropriate Are Recommendations of Online Chat-Based Artificial Intelligence (ChatGPT) to Common Questions on Ventral Hernia Repair?

Journal of laparoendoscopic & advanced surgical techniques. Part A
ChatGPT is a conversational AI model developed by OpenAI to generate human-like text based on the input it receives. ChatGPT has become increasingly popular, and the general public may use this tool to ask questions about different medical conditions...

Initial experience of a single surgeon for safety and feasibility of the Versius Robotic System in robot-assisted cholecystectomy and hernia repair.

Journal of robotic surgery
This study aimed to evaluate the feasibility, safety, and perioperative outcomes of cholecystectomy and hernia repair performed with the Versius Robotic System by a surgeon with no prior robotic surgery experience. A retrospective analysis was conduc...

Machine learning, deep learning and hernia surgery. Are we pushing the limits of abdominal core health? A qualitative systematic review.

Hernia : the journal of hernias and abdominal wall surgery
INTRODUCTION: This systematic review aims to evaluate the use of machine learning and artificial intelligence in hernia surgery.

Deep learning model utilizing clinical data alone outperforms image-based model for hernia recurrence following abdominal wall reconstruction with long-term follow up.

Surgical endoscopy
BACKGROUND: Deep learning models (DLMs) using preoperative computed tomography (CT) imaging have shown promise in predicting outcomes following abdominal wall reconstruction (AWR), including component separation, wound complications, and pulmonary fa...

Application of machine learning algorithms to predict postoperative surgical site infections and surgical site occurrences following inguinal hernia surgery.

Hernia : the journal of hernias and abdominal wall surgery
PURPOSE: This study aimed to develop, validate, and evaluate machine learning (ML) algorithms for predicting Surgical site infections (SSI) and surgical site occurrences (SSO) after elective open inguinal hernia surgery.

Investigating surgeon performance metrics as key predictors of robotic herniorrhaphy outcomes using iterative machine learning models: retrospective study.

BJS open
BACKGROUND: Robotic data streams allow for capture of objective performance indicators, providing the ability to quantify and analyse operator technique and movement in optimizing postoperative outcomes. This study provided proof-of-concept demonstra...

Anatomical recognition of dissection layers, nerves, vas deferens, and microvessels using artificial intelligence during transabdominal preperitoneal inguinal hernia repair.

Hernia : the journal of hernias and abdominal wall surgery
PURPOSE: In laparoscopic inguinal hernia surgery, proper recognition of loose connective tissue, nerves, vas deferens, and microvessels is important to prevent postoperative complications, such as recurrence, pain, sexual dysfunction, and bleeding. E...

The Role of AI in Modern Hernia Surgery: A Review and Practical Insights.

Surgical innovation
BackgroundArtificial intelligence (AI) is revolutionizing various aspects of health care, particularly in the surgical field, where it offers significant potential for improving surgical risk assessment, predictive analytics, and research advancement...