Background Deep learning (DL) may facilitate the diagnosis of various pancreatic lesions at imaging. Purpose To develop and validate a DL-based approach for automatic identification of patients with various solid and cystic pancreatic neoplasms at ab...
PURPOSE: Few data exist regarding the functional outcomes of robot-assisted radical cystectomy (RARC) with intracorporeal orthotopic neobladder. The aim of this study was to evaluate the urodynamic and functional outcomes in patients undergoing RARC ...
BACKGROUND: Minimally invasive techniques for pancreaticoduodenectomy (PD) are increasing in practice, however, data remains limited regarding perioperative outcomes. Our study sought to compare patients undergoing open pancreaticoduodenectomy (OPD) ...
The performance and clinical implications of the deep learning aided algorithm using electrocardiogram of heart failure (HF) with reduced ejection fraction (DeepECG-HFrEF) were evaluated in patients with acute HF. The DeepECG-HFrEF algorithm was trai...
Neck contrast-enhanced CT (CECT) is a routine tool used to evaluate patients with cervical lymphadenopathy. This study aimed to evaluate the ability of convolutional neural networks (CNNs) to classify Kikuchi-Fujimoto's disease (KD) and cervical tube...
OBJECTIVE: To report perioperative and postoperative outcomes in men who undergo salvage RASP (sRASP) following some other endoscopic outlet procedure for benign prostate enlargement (BPE) compared to those undergoing RASP for primary treatment (pRAS...
OBJECTIVE: 3D reconstruction of lumbar intervertebral foramen (LIVF) has been beneficial in evaluating surgical trajectory. Still, the current methods of reconstructing the 3D LIVF model are mainly based on manual segmentation, which is laborious and...
European journal of cancer (Oxford, England : 1990)
Aug 16, 2022
BACKGROUND: The need for developing new biomarkers is increasing with the emergence of many targeted therapies. Artificial Intelligence (AI) algorithms have shown great promise in the medical imaging field to build predictive models. We developed a p...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.