Latest AI and machine learning research in cardiovascular for healthcare professionals.
ObjectivesTo evaluate the application of different tube voltages and image-reconstruction algorithms...
PURPOSE: To assess the impact of defacing-based deidentification techniques on reidentification risk...
Breast cancer (BC) is one of the most common malignancies in women globally, characterized by signif...
The integration of artificial intelligence (AI) with nanotechnology is redefining therapeutic strate...
OBJECTIVES: This study aimed to conduct a comparative quality assessment of information provided by ...
OBJECTIVES: To compare image quality and radiation dose between deep learning reconstruction (DLIR) ...
Rapid technological advances in radiation oncology, including artificial intelligence (AI), online a...
BACKGROUND: Lung adenocarcinoma (LUAD) is a predominant contributor to cancer‑related mortality glob...
BACKGROUND: Pancreatic cancer requires nuanced, multidisciplinary treatment planning typically condu...
Programmed death-ligand 1 (PD-L1) plays a central role in immune regulation in esophageal squamous c...
BACKGROUND AND OBJECTIVES: Stereotactic body radiotherapy (SBRT) has emerged as an effective treatme...
BACKGROUND: Histological typing of carcinomas is crucial considering the varying progression, progno...
Rapid assessment of chemotherapeutic response is essential for precision oncology but remains hinder...
BACKGROUND: International guidelines recommend 5FU/LV, Nal-IRI + 5FU/LV, FOLFIRI, FOLFOX, or (m)FOLF...
Antibody-drug conjugates (ADCs) are a leading area of targeted cancer therapeutics, typically combin...
Whole-body MRI (WB-MRI) has evolved over the past 2 decades as a noninvasive imaging technique for d...
Pancreatic cancer is highly aggressive with poor outcomes; current artificial intelligence (AI) prog...
Accurate classification of disease subtypes is a fundamental requirement of precision medicine espec...
OBJECTIVE: To define oncologic outcomes in Veterans in the modern era using a multi-institutional co...
PURPOSE: To introduce a hybrid quantum-classical machine learning approach and validate its feasibil...
BACKGROUND: Clinical competency-based education (CBE) has emerged as a critical strategy to enhance ...