AIMC Topic: Treatment Outcome

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Deep learning-based prediction model for postoperative complications of cervical posterior longitudinal ligament ossification.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
PURPOSE: Postoperative complication prediction helps surgeons to inform and manage patient expectations. Deep learning, a model that finds patterns in large samples of data, outperform traditional statistical methods in making predictions. This study...

Robot-assisted vs. open radical cystectomy: systematic review and meta-analysis of randomized controlled trials.

Actas urologicas espanolas
INTRODUCTION: Several randomized controlled trials (RCTs) have been launched in the last decade to examine the surgical safety and oncological efficacy of robot-assisted (RARC) vs open radical cystectomy (ORC) for patients with bladder cancer. The ai...

Intrathoracic Robotic-Sewn Anastomosis During Ivor Lewis Esophagectomy for Cancer: Back to Basics?

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract
BACKGROUND: To assess the feasibility, clinical utility, and safety of intrathoracic robotic-sewn esophageal anastomosis (IrEA) during Ivor Lewis esophagectomy for adenocarcinoma of the lower third of the esophagus, or cancer at the gastro-esophageal...

A comparison between the da Vinci Xi EndoWrist Stapler and a conventional laparoscopic stapler in rectal transection: A randomized controlled trial.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Distal rectal transection following robotic total mesorectal excision for rectal cancer is challenging. This can be performed with either a robotic stapler (RS) or laparoscopic stapler (LS). We compared the operative outcomes and ergonomi...

Evaluation of the Diagnostic and Prognostic Accuracy of Artificial Intelligence in Endodontic Dentistry: A Comprehensive Review of Literature.

Computational and mathematical methods in medicine
AIM: This comprehensive review is aimed at evaluating the diagnostic and prognostic accuracy of artificial intelligence in endodontic dentistry.