Latest AI and machine learning research in menopause for healthcare professionals.
In this narrative review, we address the ongoing challenges of lung cancer (LC) screening using ches...
Understanding the cell cycle at the single-cell level is crucial for cellular biology and cancer res...
BACKGROUND: Injuries constitute a significant global public health concern, particularly among indiv...
The bi-annual international congress on autoimmunity is a huge opportunity for the medical community...
X-ray is the primary tool for diagnosing fractures, crucial for determining their type, location, an...
BACKGROUND: There are no known non-invasive tests (NITs) designed for accurately detecting metabolic...
BACKGROUND: Multiple first-line treatment options have been developed for advanced non-small cell lu...
BACKGROUND: Lung cancer is characterized by high morbidity and mortality due to the lack of practica...
PURPOSE: Fragility fractures associated with osteoporosis and osteopenia are a common cause of morbi...
INTRODUCTION: Axillary lymph node dissection (ALND) is the standard of care for breast cancer patien...
The research focuses on leveraging convolutional neural networks (CNNs) to enhance the analysis of p...
The specificity and sensitivity of a simple non-invasive multi-cancer screening method in detecting ...
The main objective of the current endeavor is to monitor hypothetical processes utilizing a Sisko tr...
The capacity to discern and locate positions in three-dimensional space is crucial for human-machine...
With the increasing demand for precision medicine in cancer patients, radiogenomics emerges as a pro...
Timely and effective detection of quality attributes during drying control is essential for enhancin...
BACKGROUND AND AIMS: This study sought to assess the capabilities of large language models (LLMs) in...
INTRODUCTION: The problem of population aging is intensifying worldwide. Osteoporosis has become an ...
MR images with high signal-to-noise ratio (SNR) provide more diagnostic information. Various methods...
BACKGROUND AND OBJECTIVES: The aim of this study is to develop a radiomic and deep learning-based si...
Interpretable causal machine learning (ICML) was used to predict the performance of denitrification ...