AI Medical Compendium Topic:
Postoperative Complications

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Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets.

Lancet (London, England)
BACKGROUND: The accuracy of current prediction tools for ischaemic and bleeding events after an acute coronary syndrome (ACS) remains insufficient for individualised patient management strategies. We developed a machine learning-based risk stratifica...

Robotic Total Pancreatectomy: A Narrative Review.

In vivo (Athens, Greece)
BACKGROUND/AIM: Studies on robotic total pancreatectomy (RTP) have been limited regardless of the increasing evidence on robotic pancreatoduodenectomy. The aim of this study was to review the current status of RTP in terms of surgical techniques and ...

[Launching Robot-Assisted Laparoscopic Surgery for Rectal Cancer in Our Hospital-Short-Term Results].

Gan to kagaku ryoho. Cancer & chemotherapy
Robot-assisted laparoscopic surgery(RALS)for rectal cancer has been covered by National Health Insurance in Japan since April 2018. We launched RALS in our hospital in October 2019 and now report the short-term results(up to January 2020). Altogether...

New perspectives in the prediction of postoperative complications for high-risk ulcerative colitis patients: machine learning preliminary approach.

European review for medical and pharmacological sciences
OBJECTIVE: Patients with acute severe and medical refractory ulcerative colitis have a high risk of postoperative complications after total abdominal colectomy (TAC). The objective of this retrospective study is to use machine learning to analyze and...

Utilizing Machine Learning Methods for Preoperative Prediction of Postsurgical Mortality and Intensive Care Unit Admission.

Annals of surgery
OBJECTIVE: To compare the performance of machine learning models against the traditionally derived Combined Assessment of Risk Encountered in Surgery (CARES) model and the American Society of Anaesthesiologists-Physical Status (ASA-PS) in the predict...

Robot-assisted minimally invasive thoracolaparoscopic esophagectomy versus open esophagectomy: long-term follow-up of a randomized clinical trial.

Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus
Initial results of the ROBOT, which randomized between robot-assisted minimally invasive esophagectomy (RAMIE) and open transthoracic esophagectomy (OTE), showed significantly better short-term postoperative outcomes in favor of RAMIE. However, it is...

[Robot-assisted radical cystectomy with neobladder formation].

Urologiia (Moscow, Russia : 1999)
INTRODUCTION: Robot-assisted radical cystectomy (RARC) with intracorporeal neobladder formation is a complex surgical procedure.

[Simple Methods to Prevent Postoperative Inguinal Hernia after Extraperitoneal and Transperitoneal Robot-Assisted Radical Prostatectomy].

Hinyokika kiyo. Acta urologica Japonica
Herein we present simple methods to prevent postoperative inguinal hernia (IH) after extraperitoneal and transperitoneal robot-assisted radical prostatectomy (RARP). Among 275 patients who underwent RARP between January 2014 and December 2016 at our ...

Can Machine-learning Algorithms Predict Early Revision TKA in the Danish Knee Arthroplasty Registry?

Clinical orthopaedics and related research
BACKGROUND: Revision TKA is a serious adverse event with substantial consequences for the patient. As the demand for TKA rises, reducing the risk of revision TKA is becoming increasingly important. Predictive tools based on machine-learning algorithm...