Latest AI and machine learning research in lymphoma for healthcare professionals.
Preeclampsia (PE) and fetal growth restriction (FGR) complicate 5-10% of pregnancies and are major c...
This study sought to develop a radiomics model capable of predicting axillary lymph node metastasis ...
Myocardial infarction, a leading cause of mortality worldwide, leaves survivors at significant risk ...
Here, we examine the effectiveness of a participatory artificial intelligence (AI)-driven shift-sche...
BACKGROUND: Unplanned postoperative intensive care unit admissions (UIAs) are rare events that cause...
Children's ambulatory sleep is commonly measured via actigraphy. However, traditional actigraphy mea...
With the recent conditional approval of resmetirom by the US Food and Drug Administration, the treat...
BACKGROUND: Autoimmune hepatitis (AIH) may be difficult to diagnose and distinguish clinically and b...
Colorectal cancer (CRC) is the 2nd leading cause of cancer death in the United States (US). Rural Ap...
Interleukin-2 (IL-2) based immunotherapy has been approved for treating certain types of cancer, as ...
Recently, the challenge of the boundary detection of isolated signs in a continuous sign video has b...
PURPOSE: Accurate identification of bone marrow invasion (BMI) is critical for determining the progn...
PURPOSE: To develop a radiomics machine learning model for detecting liver fibrosis on CT images of ...
Birth complications, particularly jaundice, are one of the leading causes of adolescent death and di...
Brain tumor segmentation plays a crucial role in clinical diagnostics and treatment planning, yet ac...
OBJECTIVES: This study aimed to develop an accurate prediction model for the risk of Non-alcoholic f...
Identifying novel and functional RNA structures remains a significant challenge in RNA motif design ...
CD20, a transmembrane protein on the surface of lymphoma extracellular vesicles (EVs), is highly exp...
BACKGROUND: Missing survey data can threaten the validity and generalizability of findings from long...
This study aimed to predict the likelihood of natural conception among couples by using a machine le...
Innovative identification technologies for hematopoietic stem cells (HSCs) have expanded the scope o...