Latest AI and machine learning research in cardiovascular for healthcare professionals.
In recent years, there has been a surge in the development of methods for cell segmentation and trac...
INTRODUCTION: The correlation between radiation exposure before pregnancy and abnormal birth weight ...
BACKGROUND AND OBJECTIVE: To evaluate the feasibility and accuracy of radiomics, dosiomics, and deep...
BACKGROUND: To establish and validate a machine learning model using pretreatment multiparametric ma...
BACKGROUND AND OBJECTIVE: Breast cancer is a multifaceted condition characterized by diverse feature...
INTRODUCTION: The transition from conventional cytotoxic chemotherapy to targeted cancer therapy wit...
This study aimed to evaluate the impact of radiation dose and focal spot size on the image quality o...
Synthetic computed tomography (sCT) generated from magnetic resonance imaging (MRI) can serve as a s...
PURPOSE: Commercial vendors have created artificial intelligence (AI) tools for use in all aspects o...
Despite recent advances in cancer treatment, refining therapeutic agents remains a critical task for...
BACKGROUND: Pathological complete response (pCR) is an essential criterion for adjusting follow-up t...
Disulfidptosis represents a novel cell death mechanism triggered by disulfide stress, with potential...
Deep learning image reconstruction (DLIR) algorithms employ convolutional neural networks (CNNs) for...
BACKGROUND AND PURPOSE: Artificial Intelligence (AI) models in radiation therapy are being developed...
BACKGROUND: Despite the availability of established surgical and chemotherapy options, the treatment...
BACKGROUND: Breast cancer (BC) diagnosis and treatment rely heavily on molecular markers such as HER...
Online adaptive radiotherapy (OART) is a promising technique for delivering stereotactic accelerated...
PURPOSE: Developed and validated a deep learning radiomics nomogram using multi-phase contrast-enhan...
PURPOSE: Radiation-induced lymphopenia (RIL) is common among patients undergoing radiation therapy (...
PURPOSE: Cardiac substructure dose metrics are more strongly linked to late cardiac morbidities than...
Predicting distant recurrence of endometrial cancer (EC) is crucial for personalized adjuvant treatm...