Latest AI and machine learning research in lymphoma for healthcare professionals.
The development and refinement of artificial intelligence (AI) and machine learning algorithms have ...
Cervical cancer is a leading cause of death from malignant tumors in women, and accurate evaluation ...
RATIONALE AND OBJECTIVES: Bronchial artery chemoembolization (BACE) is a new treatment method for lu...
A substantial portion of lung cancer-associated genetic elements in East Asian populations remains u...
BACKGROUND AND PURPOSE: To assess the feasibility and accuracy of a deep learning (DL) model to iden...
Computed tomography (CT) is one of the most widely used non-invasive imaging modalities for medical ...
BACKGROUND: This study aimed to develop and validate a hybrid deep learning (DL) model that integrat...
PUROPOSE: Preoperative T-staging in rectal cancer is essential for treatment planning, yet conventio...
Hazelnut adulteration with ground peanut is a severe health and economic problem. In this study, Fou...
Since Transformers have demonstrated excellent performance in the segmentation of two-dimensional me...
Although Transformers perform well in time series prediction, they struggle when dealing with real-w...
Analysis of small-molecule drug solubility in binary solvents at different temperatures was carried ...
Reconstructing high-quality images from corrupted measurements remains a fundamental challenge in me...
Large language models (LLMs), a significant development in artificial intelligence (AI), are continu...
Traditional diagnostic methods for asthma, a widespread chronic respiratory illness, are often limit...
Stochastic resetting, the procedure of stopping and re-initializing random processes, has recently e...
Single cell density is a key indicator for judging cell physiological state, crucial for studying ce...
Many biological decision-making tasks require classifying high-dimensional chemical states. The biop...
Machine-learning models can assist in diagnosing autism but have biases. We examines the correlates ...
Machine learning has proven valuable in developing photoplethysmography (PPG)-based approaches for b...
BACKGROUND AND OBJECTIVE: Adrenal incidentalomas (AIs) are predominantly adrenal adenomas (80%), wit...