Latest AI and machine learning research in cardiovascular for healthcare professionals.
The increasing use of nuclear technology in medicine, industry, and energy requires effective durabl...
Breast density is a breast cancer risk factor. The accurate quantification of breast density require...
OBJECTIVE: The aim of this study was to evaluate the ability of dual-energy CT (DECT) quantitative p...
BACKGROUND: Postoperative upper-limb morbidity following breast cancer treatment is common and clini...
PURPOSE: Radiation proctitis (RP) is a common complication following radiotherapy for cervical cance...
AIMS: Global longitudinal strain (GLS) is essential for the early detection of cancer therapy-relate...
Gene expression data play a crucial role in disease diagnosis. Transforming such non-image data into...
The FORUM (Far-infrared Outgoing Radiation Understanding and Monitoring) mission will provide, for t...
BACKGROUND: Population-scale radiation exposure assessment during radiological emergencies is hinder...
Neoadjuvant dual HER2 blockade with trastuzumab and pertuzumab plus chemotherapy represents the curr...
PURPOSE: The aim of the study is to develop an interpretable machine learning model that can effecti...
Efforts to create rapid, non-invasive, and reliable cancer diagnostics have increasingly focused on ...
Chemotherapy resistance remains a primary cause of treatment failure in breast cancer, yet the globa...
BACKGROUND: Breast cancer (BRCA) is a heterogeneous disease. Accurate prognosis and molecular subtyp...
PURPOSE: PPOI is one of the common complications of intraperitoneal hyperthermic chemotherapy during...
BackgroundUltra-radical cytoreductive surgery is frequently performed for patients with advanced ova...
OBJECTIVE: Phase gating is a critical technique to mitigate tumor motion during radiotherapy, partic...
Therapy-induced senescence (TIS) in cancer cells can be triggered by radiotherapy, chemotherapy, and...
Accurate prediction of disease-free survival (DFS) is essential for tailoring adjuvant regimens and ...
OBJECTIVES: To develop a nomogram model for individualized prediction of neoadjuvant chemotherapy (N...
BACKGROUND: Due to immunosuppression, mucosal barrier injury, and prolonged neutropenia resulting fr...