Latest AI and machine learning research in menopause for healthcare professionals.
PURPOSE: This study aimed to evaluate the efficacy of the Chat Generative Pre-trained Transformer (C...
INTRODUCTION: The safety and health of food products are essential in the food industry, and the ris...
Clinical risk scores that predict outcomes in patients with atrial fibrillation (AF) have modest pre...
BACKGROUND: Dual-energy computed tomography (DECT) has demonstrated the feasibility of using HAP-wat...
OBJECTIVE: This study aims to explore the role of estrogen in providing cardioprotective benefits to...
PURPOSE: Currently, chemoimmunotherapy is effective only in a subset of patients with advanced non-s...
Non-small cell lung cancer (NSCLC) exhibits a comparatively slower rate of metastasis in contrast to...
BACKGROUND: Despite decades of pursuing health equity, racial and ethnic disparities persist in heal...
PURPOSE: Osteoporosis, affecting over 200 million individuals, often remains unrecognized and untrea...
Multi-view clustering has become a rapidly growing field in machine learning and data mining areas b...
Deep learning-based automated segmentation of vascular structures in preoperative CT angiography (CT...
BACKGROUND: A high portal pressure gradient (PPG) is associated with an increased risk of failure to...
There is limited evidence that heavy metals exposure contributes to osteoporosis. Multi-parameter sc...
OBJECTIVE: To investigate how different combinations of T1-weighted (T1w), T2-weighted (T2w), and di...
Breast cancer, the second most prevalent cancer among women worldwide, necessitates the exploration ...
BACKGROUND: Non-small cell lung cancer (NSCLC) is one of the leading causes of cancer mortality worl...
The emergence of Artificial Intelligence (AI) and its usage in regenerative medicine represents a si...
BACKGROUND: The clinical care process for people with prediabetes starts with lifestyle intervention...
The contamination of mycotoxins is a serious problem around the world. It has detrimental effects on...
BACKGROUND: This study aimed to develop a machine learning classifier for predicting intraoperative ...
Genitourinary syndrome of menopause (GSM) is a physiological disorder caused by reduced levels of oe...