Robot-assisted minimal access surgery (MAS), compared with conventional MAS, has shown a number of benefits across several therapeutic indications but its use for transthoracic esophagectomy (TTE) requires further evaluation. Here, we report the firs...
Background CT imaging of chronic total occlusion (CTO) is useful in guiding revascularization, but manual reconstruction and quantification are time consuming. Purpose To develop and validate a deep learning (DL) model for automated CTO reconstructio...
Background Total lung capacity (TLC) has been estimated with use of chest radiographs based on time-consuming methods, such as planimetric techniques and manual measurements. Purpose To develop a deep learning-based, multidimensional model capable of...
Background Computational models based on artificial intelligence (AI) are increasingly used to diagnose malignant breast lesions. However, assessment from radiologic images of the specific pathologic lesion subtypes, as detailed in the results of bio...
IMPORTANCE: Robotic assistance in pelvic organ prolapse surgery can improve surgeon ergonomics and instrument dexterity compared with traditional laparoscopy but at increased costs.
BACKGROUND: An accurate preoperative assessment of Non-Muscle-Invasive Bladder Cancer (NMIBC) and Muscle-Invasive Bladder Cancer (MIBC) in Bladder Cancer (BCa) can help the urologist make diagnostic decisions. Considering the absence of multiparametr...
PURPOSE: To evaluate the neurovascular bundle preservation grades during robotic-assisted radical prostatectomy and compared to the trifecta combined outcome (oncologic control, continence, and sexual function) twelve months after the surgery.
PURPOSE: Cystectomy associated with non-continent ileal diversion is a common surgery in patients with neurogenic bladder. Few data are available, especially for the robotic approach. Our purpose was to compare open cystectomy (OC) and robot-assisted...
BACKGROUND: As in many other fields of surgery, robotically assisted surgical procedures have been established in the treatment of ventral hernias in recent years. The use of the robot can combine the demands of a minimally invasive approach and retr...
In this study, we investigated a convolutional neural network (CNN)-based framework for the estimation of the best-corrected visual acuity (BCVA) from fundus images. First, we collected 53,318 fundus photographs from the Gyeongsang National Universit...
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