Latest AI and machine learning research in refractive surgery for healthcare professionals.
PURPOSE: The aim of this study was to develop and validate a machine learning (ML) model for predict...
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...
BACKGROUND: Retinal detachment (RD) is a vision-threatening disorder of significant severity. Indivi...
COVID-19 is an infectious respiratory disease that has had a significant impact, resulting in a rang...
Here, we present a workflow for analyzing multi-omics data of plasma samples in patients with post-C...
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...
The mechanisms underlying the many phenotypic manifestations of post-acute COVID-19 syndrome (PACS) ...
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...
Prediction models are being increasingly used in the medical field to identify risk factors and poss...
Approximately half of generalised anxiety disorder (GAD) patients do not recover from first-line tre...
BACKGROUND AND AIMS: The duodenal papillae are the primary and essential pathway for ERCP, greatly d...
BACKGROUND AND AIMS: The impact of various categories of information on the prediction of post-ERCP ...
Real-world evidence for patients with advanced -mutated non-small cell lung cancer (NSCLC) in Canada...
Individual muscle segmentation is the process of partitioning medical images into regions representi...
Modern artificial intelligence (AI) tools built on high-dimensional patient data are reshaping oncol...