Latest AI and machine learning research in surgery for healthcare professionals.
Diagnosis based on histopathology for skin cancer detection is today's gold standard and relies on the presence or absence of biomarkers and cellular atypia. However it suffers drawbacks: it requires a strong expertise and is time-consuming. Moreover the notion of atypia or dysplasia of the visible cells used for diagnosis is very subjective, with poor inter-rater agreement reported in the literat...
BACKGROUND: Lipid metabolism disorder, as one major complication in patients with chronic kidney disease (CKD), is tied to an increased risk for cardi...
BACKGROUND: Laparoscopic adrenalectomy is the gold standard for adrenal tumor; however, robotic adrenal surgery has gained interest recently. For mini...
BACKGROUND: The safety and efficiency of minimally invasive approaches for liver resection have been confirmed (Wakabayashi in Ann Surg, 2015). Howeve...
The popularity of deep learning techniques renewed the interest in neural architectures able to process complex structures that can be represented usi...
BACKGROUND: In Brazil, many public hospitals face constant problems related to high demand vis-Ã -vis an overall scarcity of resources, which hinders t...
PURPOSE: To assess an FDA-approved and CE-certified deep learning (DL) software application compared to the performance of human radiologists in detec...
PURPOSE: A surgeon in a sterilized area can perform robotically assisted laparoscopic solo surgery while controlling a laparoscope-holding robot for v...
BACKGROUND AND AIMS: Preoperative fasting imparts safety to patients from aspiration of gastric contents, but undue fasting may predispose to hypoglyc...
BACKGROUND AND AIMS: The current study was designed to compare the effects of two different doses of 3% hypertonic saline with mannitol on intraoperat...
INTRODUCTION: Reducing donor site morbidity after deep inferior epigastric artery perforator (DIEP) flap harvest relies mainly upon maintaining integr...
To provide a systematic analysis of outcomes comparing outpatient and inpatient robot-assisted radical prostatectomy (RARP) for prostate cancer based...
BACKGROUND: Control of the joints of robotic surgical instruments is difficult owing to hysteresis, and tendon twisting due to axial rotation of surgi...
BACKGROUND: It is unclear if there is a natural transition from laparoscopic to robotic surgery with transfer of abilities.
INTRODUCTION: The aim of the study was to assess the robotic colorectal surgery (RCS) learning curve of an experienced surgeon.
We aimed to compare surgical, oncological, and functional outcomes of robot-assisted radical prostatectomy (RARP) in prostate cancer patients with and...
The objective of this study was to evaluate the incidence of perioperative complications in robotic-assisted hysterectomies performed by high-volume r...
BACKGROUND: There is no clear evidence on the number of cases required to master the techniques required in robot-assisted surgery for different surgi...
BACKGROUND: Accurate, pragmatic risk stratification for postoperative delirium (POD) is necessary to target preventative resources toward high-risk pa...