Latest AI and machine learning research in product alert for healthcare professionals.
This study explored the application of machine learning in predicting post-treatment outcomes for ch...
In this retrospective study, we aimed to assess the objective and subjective image quality of differ...
The underlying brain mechanisms of ketamine in treating chronic suicidality and the characteristics ...
Maximizing the recombinant protein yield necessitates optimizing the production medium. This can be ...
The post-effects of the COronaVIrus Disease (COVID-19) vary depending on socioeconomic and biologica...
Machine learning approaches are increasingly being adopted as data analysis tools in scientific beha...
AIMS: To identify peri- and post-menopausal women at risk of non-communicable diseases in rural Indi...
This study investigates the application of cavitation in non-invasive abdominal fat reduction and bo...
Epilepsy surgery is effective for patients with medication-resistant seizures, however 20-40% of the...
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...
Deep neural networks have become increasingly popular for analyzing ECG data because of their abilit...
INTRODUCTION: The identification of a new adverse event (AE) caused by a drug product is one of the ...
This retrospective study applied machine-learning models to predict treatment outcomes of women unde...
Interpretability is highly desired for deep neural network-based classifiers, especially when addres...
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...
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) ...
INTRODUCTION: Social media platforms serve as a valuable resource for users to share health-related ...
A late post-traumatic seizure (LPTS), a consequence of traumatic brain injury (TBI), can potentially...