Latest AI and machine learning research in oncology/hematology for healthcare professionals.
OBJECTIVE: To develop and validate habitat radiomics as a biomarker for predicting axillary lymph no...
In medical image analysis, skin lesion diagnosis remains a complicated task. Skin lesions are a prev...
Accurate three-dimensional (3D) nuclear instance segmentation is a prerequisite for quantitative phe...
Contrast-enhanced CT is commonly used in the evaluation of hepatic metastatic lesions. This prospect...
Inflammatory breast cancer (IBC) is a rare yet highly aggressive subtype of breast cancer, character...
Rectal cancer remains a global health burden, with immunotherapy emerging as a transformative treatm...
OBJECTIVE: To evaluate the diagnostic performance of magnetic resonance imaging (MRI)-based artifici...
Cardiovascular-kidney-metabolic disease (CKM) represents a growing public health challenge driven by...
PURPOSE: Radiation necrosis (RN) is a challenging complication of cranial irradiation, often requiri...
Crotonylation is a lysine acylation modification that links cellular metabolism to epigenetic regula...
Micropeptides are emerging as a previously hidden layer of the human proteome, redefining the long-s...
BACKGROUND: Sybil is a deep learning model designed to predict future lung cancer risk based on a si...
Pancreatic cystic lesions are increasingly detected due to the widespread use of high-resolution cro...
Small tissue biopsies, including renal core biopsies, bone marrow trephines, gastrointestinal endosc...
PURPOSE OF REVIEW: Immune checkpoint inhibitors (ICIs) have transformed cancer therapy, producing du...
BACKGROUND: Clinical notes are the most abundant data type within electronic health records; however...
BACKGROUND: Eligibility criteria are essential to clinical trial design, guiding recruitment, and en...
Papillary thyroid carcinoma (PTC) is the most prevalent thyroid malignancy and its incidence continu...
INTRODUCTION: Artificial intelligence (AI) in medical radiation science (MRS) is increasingly embedd...
The assessment of tumor-infiltrating lymphocyte (TILs), together with gene expression signatures (GE...
Brain tumor segmentation from multi-modal MRI scans remains challenging due to the heterogeneity of ...