AIMC Topic: Herniorrhaphy
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Fairness of machine learning readmission predictions following open ventral hernia repair.
Surgical endoscopy
Jul 7, 2025
INTRODUCTION: Few models have predicted readmission following open ventral hernia repair (VHR), and none have assessed fairness. Fairness evaluation assesses whether predictive performance is similar across demographic groups, ensuring that biases ar...
Landmark display system for laparoscopic inguinal hernia repair using artificial intelligence.
Surgical endoscopy
Jun 30, 2025
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....
The Role of AI in Modern Hernia Surgery: A Review and Practical Insights.
Surgical innovation
Mar 19, 2025
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...
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
Dec 26, 2024
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...
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
Sep 17, 2024
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.
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
Jun 11, 2024
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...
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
May 18, 2024
INTRODUCTION: This systematic review aims to evaluate the use of machine learning and artificial intelligence in hernia surgery.
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
Apr 5, 2024
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...
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
Feb 14, 2024
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...
Safety and feasibility of emergency robot-assisted transabdominal preperitoneal repair for the treatment of incarcerated inguinal hernia: A retrospective study.
World journal of surgery
Feb 2, 2024
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