Latest AI and machine learning research in lymphoma for healthcare professionals.
Liver malignancies, particularly hepatocellular carcinoma (HCC), pose a formidable global health cha...
The constantly emerging evidence indicates a close association between coronary artery disease (CAD)...
BACKGROUND AND OBJECTIVE: Microbiological culture is a standard diagnostic test that takes a long ti...
Artificial neural networks (ANNs) offers potential for obtaining kinetics in non-laboratory. This st...
The rapid development of artificial intelligence (AI) based tools in pathology laboratories has brou...
RATIONALE AND OBJECTIVES: The expression of human epidermal growth factor receptor 2 (HER2) in gastr...
Peptide ion mobility adds an extra dimension of separation to mass spectrometry-based proteomics. Th...
OBJECTIVES: Adenomatous colorectal polyps require endoscopic resection, as opposed to non-adenomatou...
Drug resistance often stems from drug-tolerant persister (DTP) cells in cancer. These cells arise fr...
OBJECTIVES: To develop and validate an ultrasomics-based machine-learning (ML) model for non-invasiv...
Non-enhanced head computed tomography is widely used for patients presenting with head trauma or str...
PURPOSE: In primary central nervous system lymphoma (PCNSL), B-cell lymphoma-6 (BCL-6) is an unfavor...
OBJECTIVE: To evaluate the accuracy of Google Translate (GT) in translating low-acuity paediatric em...
Positron emission tomography (PET) imaging plays a pivotal role in oncology for the early detection ...
BACKGROUND: With advancements in artificial intelligence, patients increasingly turn to generative A...
KanCell is a deep learning model based on Kolmogorov-Arnold networks (KAN) designed to enhance cellu...
BACKGROUND: The application of natural language processing in medicine has increased significantly, ...
. Machine learning has enhanced the performance of decoding signals indicating human behaviour. Elec...
This study presents a comprehensive comparative analysis of Machine Learning (ML) and Deep Learning ...
AIM: o point out how novel analysis tools of AI can make sense of the data acquired during OL and OC...
BACKGROUND: This study aimed to assess the risk of death from non-traumatic intracerebral hemorrhage...