Latest AI and machine learning research in lymphoma for healthcare professionals.
BACKGROUND: Suicide poses a substantial public health challenge globally, with the elderly populatio...
The recent emergence of wearable devices will enable large scale remote brain monitoring. This study...
Open-source AI models are increasingly applied in medical imaging, yet their effectiveness in detec...
Recently, the characteristics of high Cd content and low Cd mobility in karstic soil of a high geolo...
Most cancers are genetically and phenotypically heterogeneous. This includes subpopulations of cells...
BACKGROUND: Dysregulated programmed cell death pathways mechanistically contribute to hepatic inflam...
OBJECTIVES: Reliable methods for predicting pathological complete response (pCR) in non-small cell l...
OBJECTIVE: This study aims to shed light on the transformative potential of artificial intelligence ...
This narrative review addresses the diagnostic complexities of vasospastic angina (VSA), also known ...
Antigen fingerprint profiling of tumour-derived extracellular vesicles (TDEVs) in the body fluids is...
BACKGROUND: The role of Blastocystis, a common intestinal parasitic protist of humans and other anim...
PURPOSE: Artificial intelligence (AI) tools could improve clinical decision making or exacerbate ine...
Non-compaction cardiomyopathy (NCCM) is a rare, congenital form of cardiomyopathy characterized by e...
BACKGROUND/AIM: Bladder cancer (BCa) is associated with high recurrence rates, emphasizing the impor...
BACKGROUND: Despite evidence supporting use of fractional flow reserve (FFR) and instantaneous waves...
OBJECTIVE: To analyze the performance of 10 different machine learning (ML) classifiers for discrimi...
AIMS: Understanding determinants of thoracic aortic morphology is crucial for precise diagnostics an...
Plant-specific insect scouting and prediction are still challenging in most crop systems. In this ar...
Large language models (LLMs) are increasingly being explored for various applications in medical lan...
Immunotherapy has revolutionized the diagnosis and treatment model for patients with advanced non-sm...
OBJECTIVE: To compare a deep learning (DL)-accelerated non-enhanced abbreviated MRI (AMRI) protocol ...