Latest AI and machine learning research in cardiovascular for healthcare professionals.
By virtue of the chronic and dangerous nature of cancer, researchers have explored various approache...
Gynecologic cancer requires personalized care to improve outcomes. Large language models (LLMs) hold...
BACKGROUND: Chemotherapy enhances survival rates for pancreatic cancer (PC) patients postsurgery, ye...
PURPOSE: The formulation and optimization of radiation therapy plans are complex and time-consuming ...
BACKGROUND: Human epidermal growth factor receptor 2 (HER2)-low breast cancer has emerged as a new s...
Urinary toxicities are one of the serious complications of radiotherapy for prostate cancer, and dos...
BACKGROUND: Fluoroscopy guided interventions (FGIs) pose a risk of prolonged radiation exposure; per...
OBJECTIVES: To develop a machine learning-based pipeline for multi-organ/tissue personalized radiati...
PURPOSE: Conventional normal tissue complication probability (NTCP) models for patients with head an...
Artificial intelligence (AI) radiation therapy (RT) planning holds promise for enhancing the consist...
Tumorigenesis and treatment are closely associated with various programmed cell death (PCD) patterns...
A precise radiotherapy plan is crucial to ensure accurate segmentation of glioblastomas (GBMs) for r...
BACKGROUND: Radiotherapy has been crucial in prostate cancer treatment. However, manual segmentation...
Background and objectivesRobotic neurointervention enhances procedural precision, reduces radiation ...
Head and neck squamous cell carcinoma (HNSCC) is a complex malignancy that requires a multidisciplin...
PURPOSE: In the rapidly expanding field of artificial intelligence (AI) there is a wealth of literat...
Artificial intelligence can standardize and automatize highly demanding procedures, such as manual s...
Acute myeloid leukemia (AML) exhibits pronounced heterogeneity and chemotherapy resistance. Aberrant...
This study explores the impact of densely-ionizing radiation on non-cancer and cancer diseases, focu...
OBJECTIVE: To investigate the accuracy of machine learning (ML) algorithms in stratifying risk of pr...
PURPOSE: Organ-at-risk segmentation is essential in adaptive radiotherapy (ART). Learning-based auto...