AIMC Topic: Postoperative Complications

Clear Filters Showing 541 to 550 of 993 articles

Intraoperative and postoperative complications in colorectal procedures: the role of continuous updating in medicine.

Minerva surgery
Accepting surgical complications, especially those related to the learning curve, as unavoidable events in colorectal procedures, is like accepting to fly onboard an aircraft with a 10% to 20% chance of not arriving at final destination. Under this c...

SP rTaTME: initial clinical experience with single-port robotic transanal total mesorectal excision (SP rTaTME).

Techniques in coloproctology
BACKGROUND: The technical difficulty and steep learning curve of transanal total mesorectal excision (taTME) has limited widespread adoption. The single-port (SP) daVinci robot is designed to facilitate single-incision and natural-orifice translumina...

Robotic versus laparoscopic distal gastrectomy in patients with gastric cancer: a propensity score-matched analysis.

BMC surgery
BACKGROUND: Robotic distal gastrectomy (RDG) has been increasingly used for the treatment of gastric cancer (GC). However, whether RDG has a clinical advantage over laparoscopic distal gastrectomy (LDG) is yet to be determined. Thus, this study aimed...

Reducing the Risk of Postoperative Complications After Robot-assisted Radical Prostatectomy in Prostate Cancer Patients: Results of an Audit and Feedback Intervention Following the Implementation of Prospective Data Collection.

European urology focus
BACKGROUND: Prospective data collection for perioperative outcomes might increase awareness of surgical results obtained for patients with prostate cancer (PCa) undergoing robot-assisted radical prostatectomy (RARP). This would prompt the implementat...

Machine Learning and Surgical Outcomes Prediction: A Systematic Review.

The Journal of surgical research
BACKGROUND: Machine learning (ML) has garnered increasing attention as a means to quantitatively analyze the growing and complex medical data to improve individualized patient care. We herein aim to critically examine the current state of ML in predi...

Robot-assisted Cystectomy with Intracorporeal Urinary Diversion After Pelvic Irradiation for Prostate Cancer: Technique and Results from a Single High-volume Center.

European urology
BACKGROUND: Radiation therapy (RT) for prostate cancer (PCa) treatment is burdened by high rates of late urinary adverse events (UAEs). The feasibility of robot-assisted cystectomy (RAC) with intracorporeal urinary diversion (ICUD) for treatment of h...

Deep learning-based automatic surgical step recognition in intraoperative videos for transanal total mesorectal excision.

Surgical endoscopy
BACKGROUND: Dividing a surgical procedure into a sequence of identifiable and meaningful steps facilitates intraoperative video data acquisition and storage. These efforts are especially valuable for technically challenging procedures that require in...

Initial Experience with Single-Port Robot-Assisted Radical Cystectomy: Comparison of Perioperative Outcomes Between Single-Port and Conventional Multiport Approaches.

Journal of endourology
The surgical techniques and devices used to perform radical cystectomy have evolved significantly with the advent of laparoscopic and robotic methods. The da Vinci Single-Port (SP) platform (Intuitive Surgical, Inc., Sunnyvale, CA) is an innovation ...

Relationship between Artificial Intelligence-Based General Anesthetics and Postoperative Cognitive Dysfunction.

Journal of healthcare engineering
Postoperative cognitive dysfunction (POCD) refers to the complications of the central nervous system before and after surgery in patients without mental disorders. Many studies have shown that surgical anesthesia may cause POCD, especially in elderly...

Predicting Length of Stay of Coronary Artery Bypass Grafting Patients Using Machine Learning.

The Journal of surgical research
BACKGROUND: There is a growing need to identify which bits of information are most valuable for healthcare providers. The aim of this study was to search for the highest impact variables in predicting postsurgery length of stay (LOS) for patients who...