Latest AI and machine learning research in refractive surgery for healthcare professionals.
Powered robotic exoskeletons are a potential intervention for gait rehabilitation in stroke to enable repetitive walking practice to maximize neural recovery. As this is a relatively new technology for stroke, a scoping review can help guide current research and propose recommendations for advancing the research development. The aim of this scoping review was to map the current literature surround...
This study examines the possible effects of progesterone (P4) supplementation during the time of pregnancy recognition, from Days 15 to 17 post-artificial insemination (AI), on reproductive performance in high-producing dairy cows. Cows in their 15th day post-AI were alternately assigned to a control, no-treatment group (C: n = 257) or treatment group (P4: n = 287) on a weekly rotational basis acc...
The migration of cells within a living organism can be observed with magnetic resonance imaging (MRI) in combination with iron oxide nanoparticles as ...
Accurately predicting protein-protein interaction sites (PPIs) is currently a hot topic because it has been demonstrated to be very useful for underst...
To incorporate ontological concepts in natural language processing (NLP) it is often necessary to combine simple concepts into complex concepts (post-...
In South Asians, a unique obesity phenotype of high abdominal fat is associated with increased cardiovascular risk. Low cardiorespiratory fitness (CRF...
A woman in her 60s was evaluated for anterior chest pain. Computed tomography (CT) revealed a 50 mm mass with irregular contrast enhancement in the an...
Several neurobiological factors have been found to correlate with functional recovery after brain lesions. However, predicting the individual potentia...
A major characteristic of hemiplegic gait observed in individuals post-stroke is spatial and temporal asymmetry, which may increase energy expenditure...
No data are available on the learning curve in robotic distal pancreatectomy (RADP). The learning curve in RADP was assessed in 55 consecutive patient...
OBJECTIVES/HYPOTHESIS: To quantitatively measure volumetric changes in upper airway soft tissue structures using magnetic resonance imaging (MRI) pre-...
Minimally invasive liver surgery is performed with increasing frequency by hepatic surgeons. Laparoscopy was the first approach to be used and it is c...
INTRODUCTION: Robot-assisted surgery for the treatment of gastric cancer is considered to be safe and feasible with early post-operative outcomes comp...
A novel robot-aided assist-as-needed gait training paradigm has been developed recently. This paradigm encourages subjects' active participation durin...
Brain-MRI inpainting replaces a masked region of a scan with synthesized, anatomically plausible healthy tissue, so that analysis tools built for heal...
Timely post-disaster building damage assessment from satellite imagery is a critical engineering decision support task, yet it remains constrained by ...
Background Large language models are increasingly proposed to post-edit decoded text in communication brain-computer interfaces and augmentative commu...
Autoregressive (AR) image generation has shown strong potential for scalable high-fidelity synthesis by modeling images as discrete token sequences. H...
Dynamic contrast-enhanced breast MRI is central to cancer diagnosis and monitoring, but requires gadolinium-based contrast agents. In this work, we ad...
Extracting clinical information from Dutch free-text medical notes requires language-specific annotation resources, yet Dutch primary care lacks a reu...