Latest AI and machine learning research in lymphoma for healthcare professionals.
BACKGROUND: Aortic coarctation (CoA) is a congenital anomaly leading to upper-body hypertension and ...
OBJECTIVE: Breast cancer stands as the most prevalent form of cancer among women globally. This hete...
PURPOSE: Pulmonary perfusion imaging is a key lung health indicator with clinical utility as a diagn...
In this study, we explored the potential application of large language models (LLMs) to the developm...
PURPOSE: Patients with advanced non-small cell lung cancer (NSCLC) have varying responses to immunot...
OBJECTIVE: Non-puerperal mastitis (NPM) is an inflammatory breast disease affecting women during non...
PURPOSE: Left atrial thrombus or spontaneous echo contrast (LAT/SEC) are widely recognized as signif...
BACKGROUND: To accurately identify spread through air spaces (STAS) in clinical stage IA lung adenoc...
Coronary artery calcification (CAC) is a key marker of coronary artery disease (CAD) but is often un...
BACKGROUND AND OBJECTIVES: Accurate classification of lymphadenopathy is essential for determining t...
Breath-hold diving performances are typically better in men than in women. However, it is still bein...
BACKGROUND: Identifying non-accidental trauma (NAT) in pediatric trauma patients is challenging. We ...
Recently, as the number of cancer patients has increased, much research is being conducted for effic...
Non-small cell lung adenocarcinoma (LUAD) is a markedly heterogeneous disease, with its underlying m...
Due to the lack of efficient mpox diagnostic technology, mpox cases continue to increase. Recently, ...
PURPOSE: The incidence of cancer, which is a serious public health concern, is increasing. A predict...
Chronic lymphocytic leukemia (CLL) is a malignancy caused by the overexpression of the anti-apoptoti...
OBJECTIVE: The LungFlag risk prediction model uses individualized clinical variables to identify ind...
The loads that have several working states cannot be accurately distinguished by the conventional No...
Out-of-graph node representation learning aims at learning about newly arrived nodes for a dynamic g...
Foodborne pathogens such as Bacillus cereus, Staphylococcus aureus, and Escherichia coli are major c...