Latest AI and machine learning research in surgery for healthcare professionals.
Wireless capsule endoscopy (WCE) is performed with a miniature swallowable endoscope enabling the visualization of the whole gastrointestinal (GI) tract. One of the most challenging problems in WCE is the localization of the capsule endoscope (CE) within the GI lumen. Contemporary, radiation-free localization approaches are mainly based on the use of external sensors and transit time estimation te...
Perturbations are often used to study movement control and balance, especially in the context of falling. Most often, discrete perturbations defined prior to the experiment are used to mimic external disturbances to balance. However, the largest proportion of falls is due to self-generated errors in weight shifting. Inspired by self-generated weight shifting errors, we created a novel, continuous ...
Designing hardware for miniaturized robotics which mimics the capabilities of flying insects is of interest, because they share similar constraints (i...
PURPOSE: Artificial neural networks (ANN) are increasingly applied to complex medical problem solving algorithms because their outcome prediction perf...
Robots have been employed in cardiovascular therapy as surgical tools and for automation of hospital systems. Soft robots are a new kind of robot made...
Children undergoing general anesthesia require airway monitoring by an anesthesia provider. The airway may be supported with noninvasive devices such ...
Post mortem computed tomography (PMCT) can be used as a triage tool to better identify cases with a possibly non-natural cause of death, especially wh...
Clinically useful and efficient assessment of balance during standing and walking is especially challenging in patients with neurological disorders. H...
BACKGROUND: Although studies have supported the utility of perioperative continuation of antiplatelet drugs, vasodilators, and cerebral ameliorators i...
Robotic technology has been utilized in cardiovascular medicine for over a decade, and over that period, its use has been expanded to percutaneous cor...
BACKGROUND: Recent literature has established the role of stellate ganglion block (SGB) for management of acute postoperative pain. The effects of dex...
Machine learning (ML) algorithms are powerful tools for predicting patient outcomes. This study pilots a novel approach to algorithm selection and m...
Functional thyroid carcinoma is an unusual cause of thyrotoxicosis. We describe the clinical presentation and treatment of a patient with thyrotoxicos...
BACKGROUND: Radical cystectomy is associated with high rates of perioperative morbidity. Robotic-assisted radical cystectomy (RARC) is widely used tod...
BACKGROUND: Snake-like robot is an emerging form of serial-link manipulator with the morphologic design of biological snakes. The redundant robot can ...
OBJECTIVE: Robot-assisted laparoscopic prostatectomy requires the patient to be placed in a steep head-down tilt. The aim of our study was to investig...
The control problem of an uncertain n -degrees of freedom robotic manipulator subjected to time-varying output constraints is investigated in this pap...
This paper investigates the construction of sparse radial basis function neural networks (RBFNNs) for classification problems. An efficient two-phase ...
The current opinion in epilepsy surgery is that successful surgery is about removing pathological cortex in the anatomic sense. This contrasts with re...
This study investigated the prognostic value of coronary computed tomography angiography (cCTA)-derived fractional flow reserve (CT-FFR) in patients w...