Latest AI and machine learning research in surgery for healthcare professionals.
OBJECTIVES: To investigate intraocular pressure and visual function in patients with ocular diseases...
PURPOSE: Annotation of surgical videos is a time-consuming task which requires specific knowledge. I...
Recently, deep neural network-powered quantitative susceptibility mapping (QSM), QSMnet, successfull...
BACKGROUND: We present a video case with a novel, minimally invasive approach to the thymus, which d...
Skilled forelimb behaviors are among the most important for studying motor learning in multiple spec...
A rapid and reliable method to predict significant early hematoma growth in the acute setting is of...
The aim of this study was to introduce the "ultrathin parenchyma" resection in a robot-assisted par...
OBJECTIVES: Machine Learning and Artificial Intelligence (AI) are rapidly growing in capability and ...
The management of a ureteral orifice injury occurring during robotic radical prostatectomy (RARP) re...
PURPOSE: To develop and evaluate a deep learning (DL) system for retinal hemorrhage (RH) screening u...
Radical prostatectomy (RP) is the primary and standard treatment for localized prostate cancer. As i...
PURPOSE: Pancreatic cancer remains a disease of high mortality despite advanced diagnostic technique...
Haptic shared control enables a human operator and an autonomous controller to share the control of ...
Since the introduction of robot-assisted radical cystectomy, efforts have been made to meet the stan...
In radiation oncology, Machine Learning classification publications are typically related to two out...
OBJECTIVES: In Japan, endoscopic resection (ER) is often used to treat esophageal squamous cell carc...
Management of thyroid nodules in the era of precision medicine is continuously changing. Neck ultras...
Obtaining venous access for blood sampling or intravenous (IV) fluid delivery is an essential first ...
Integrated breast cancer care is complex, marked by multiple hand-offs between primary care and spec...
. High-intensity repetitive training is challenging to provide poststroke. Robotic approaches can fa...