Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND: Severe primary (degenerative) mitral regurgitation (MR) is repaired with durable results...
INTRODUCTION: Gastric cancer represents a great challenge for healthcare providers and requires a mu...
OBJECTIVE: Postoperative iPTH assay may predict significant hypocalcemia after thyroid surgery. The ...
PURPOSE: Due to the high recurrence risk of nonmuscle invasive urothelial carcinoma it is crucial to...
BACKGROUND: Open surgery is the gold standard procedure for kidney transplantation. There is a stron...
Objective methods for examination of pouch function are warranted for a better understanding of the ...
PURPOSE: Advances in technology and computing play an increasingly important role in the evolution o...
A novel hybrid approach for the identification of brain regions using magnetic resonance images acco...
OBJECTIVES: Recent studies showed that robot-assisted radical prostatectomy (RARP) represents an onc...
As robots become more involved in underwater operations, understanding underwater contact sensing wi...
Cytomegalovirus (CMV) retinitis is a late complication of organ and hematopoietic stem cell transpla...
In this study, we test the feasibility of the synergy- based approach for application in the realist...
PURPOSE: The purpose of this study is to compare the perioperative blood loss in primary non-cemente...
Staged bariatric procedures in high risk patients are a common used strategy for morbid obese patien...
BACKGROUND: Redo mitral valve surgery in patients with patent coronary bypass grafts carries a risk ...
The primary objective of this study was to describe our experience with the conservative treatment o...
The role of robot-assisted surgery in children remains controversial. This article aims to distil th...
Considerable research efforts have recently been dedicated to the establishment of various drug deli...