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...
BACKGROUND: Surgical video recording provides the opportunity to acquire intraoperative data that can subsequently be used for a variety of quality improvement, research, and educational applications. Various recording devices are available for stand...
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Feb 2, 2023
Screening of lymph node metastases in colorectal cancer (CRC) can be a cumbersome task, but it is amenable to artificial intelligence (AI)-assisted diagnostic solution. Here, we propose a deep learning-based workflow for the evaluation of CRC lymph n...
Drug development has become unbearably slow and expensive. A key underlying problem is the clinical prediction challenge: the inability to predict which drug candidates will be safe in the human body and for whom. Recently, a dramatic regulatory chan...
Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract
Feb 2, 2023
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...
International journal of computer assisted radiology and surgery
Feb 2, 2023
PURPOSE: Artificial intelligence in computer vision has been increasingly adapted in clinical application since the implementation of neural networks, potentially providing incremental information beyond the mere detection of pathology. As its algori...
International journal of legal medicine
Feb 2, 2023
BACKGROUND: Deep learning is a promising technique to improve radiological age assessment. However, expensive manual annotation by experts poses a bottleneck for creating large datasets to appropriately train deep neural networks. We propose an objec...
BACKGROUND: In recent years, with the development of artificial intelligence and deep learning techniques, it has become possible to predict the three-dimensional distribution dose (3D ) of a new patient based on the treatment plans of similar recent...
Computer methods and programs in biomedicine
Feb 2, 2023
BACKGROUND AND OBJECTIVE: Current studies based on digital biopsy images have achieved satisfactory results in detecting colon cancer despite their limited visual spectral range. Such methods may be less accurate when applied to samples taken from th...
Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique
Feb 2, 2023
PURPOSE: Accurate segmentation of target volumes and organs at risk from computed tomography (CT) images is essential for treatment planning in radiation therapy. The segmentation task is often done manually making it time-consuming. Besides, it is b...
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