Latest AI and machine learning research in pediatrics for healthcare professionals.
Based on the perspective of digital finance and technological innovation, this paper analyzes its ap...
A retrocaval ureter (RCU) is a rare cause of congenital ureteral obstruction that often requires sur...
Limited availability of medical imaging datasets is a vital limitation when using "data hungry" deep...
PURPOSE: The aim of this study was to develop and evaluate a machine learning model that predicts sh...
Several factors that follow the development of society affect physical inactivity, which primarily i...
BACKGROUND AND OBJECTIVE: Leukemia represents 30% of all pediatric cancers and is considered the mos...
Technological advances in omics evaluation, bioinformatics, and artificial intelligence have made us...
To study the effects of dietary methionine on growth performance, immunity, antioxidant capacity, pr...
This study aimed to create a consensus statement on the indications, applications, and limitations ...
The integration of human and machine intelligence promises to profoundly change the practice of medi...
In the past decade, the application of machine learning (ML) to healthcare has helped drive the auto...
INTRODUCTION: Robotic partial nephrectomy is a complex minimally invasive procedure that addresses t...
Studies have shown that there is a tight connection between cognition skills and brain morphology du...
In this paper, we use the panel data of 281 cities in China from 2005 to 2020 for capturing the fact...
Cardiovascular magnetic resonance (CMR) derived ventricular volumes and function guide clinical deci...
The study proposes a novel method to empower healthcare professionals to interact and leverage AI de...
From 2019, countries worldwide have been negatively affected by the corona virus disease 2019 (COVID...
Nowadays, emerging industries are emerging, and the sports industry has become a remarkable new econ...
With the continuous growth of science and technology, mankind has entered the fifth-generation (5G) ...
BACKGROUND: Chronic cough (CC) is difficult to identify in electronic health records (EHRs) due to t...
The evidence-based medicine (EBM) movement is stepping up its efforts to assess medical artificial i...