Latest AI and machine learning research in refractive surgery for healthcare professionals.
Epilepsy surgery is effective for patients with medication-resistant seizures, however 20-40% of the...
Orphan diseases, exemplified by T-cell prolymphocytic leukemia, present inherent challenges due to l...
This study aimed to compare the accuracy of IFN-Ï„ stimulated gene abundance (ISGs) in peripheral blo...
Clinical trials involving systemic neoadjuvant treatments in breast cancer aim to shrink tumors befo...
This retrospective study applied machine-learning models to predict treatment outcomes of women unde...
COVID-19 is an infectious respiratory disease that has had a significant impact, resulting in a rang...
BACKGROUND: Retinal detachment (RD) is a vision-threatening disorder of significant severity. Indivi...
PURPOSE: Smile design software increasingly relies on artificial intelligence (AI). However, using A...
BACKGROUND: Deep learning model trained on a large image dataset, can be used to detect and discrimi...
A late post-traumatic seizure (LPTS), a consequence of traumatic brain injury (TBI), can potentially...
Socially assistive robots (SARs) have been suggested as a platform for post-stroke training. It is n...
In recent years, the landscape of computer-assisted interventions and post-operative surgical video ...
In the midst of an outbreak or sustained epidemic, reliable prediction of transmission risks and pat...
Approximately half of generalised anxiety disorder (GAD) patients do not recover from first-line tre...
Real-world evidence for patients with advanced -mutated non-small cell lung cancer (NSCLC) in Canada...
Modern artificial intelligence (AI) tools built on high-dimensional patient data are reshaping oncol...
Large language models are enabling rapid progress in robotic verbal communication, but nonverbal com...
We constructed an early prediction model for postoperative pulmonary complications after thoracoscop...
In this paper, we propose an amount estimation method for food intake based on both color and depth ...
Predicting postoperative incontinence beforehand is crucial for intensified and personalized rehabi...
Carotid corrected flow time (FTc) and tidal volume challenge pulse pressure variation (VtPPV) are us...