Latest AI and machine learning research in cardiovascular for healthcare professionals.
PURPOSE: Hyperthermic intraperitoneal chemotherapy (HIPEC) has been considered a promising treatment...
INTRODUCTION: There has been increasing interest in the potential benefit of vitamin D in improving ...
INTRODUCTION: Cancer is a disease with a global burden and is a major and increasing threat to publi...
To determine the degree of cancer cell killing after treatment with chemotherapeutic drugs, we have ...
PURPOSE: To investigate deep reinforcement learning (DRL) based on historical treatment plans for de...
Limited therapeutic options exist for inoperable bilateral kidney tumors. We report the first ever u...
The aim of this study was to investigate the impact of pixel-based machine learning (ML) techniques,...
Using kernel machine learning (ML) and random optimization (RO) techniques, we recently developed a ...
Mummy berry, caused by Monilinia vaccinii-corymbosi, causes economic losses of highbush blueberry in...
The fundamental technique of performing percutaneous cardiovascular (CV) interventions has remained ...
We describe an automated methodology for the analysis of unregistered cranio-caudal (CC) and medio-l...
INTRODUCTION: American Indian/Alaska Native (AI/AN) patients with cancer disproportionally present w...
Cross-sectional X-ray imaging has become the standard for staging most solid organ malignancies. How...
The increasing threat of cancer to human life and the improvement in survival rate of this disease d...
Solar energy is considered as one of the main sources for renewable energy in the near future. Howev...
Robotic technology has been utilized in cardiovascular medicine for over a decade, and over that per...
Shortwave solar radiation is an important component of the surface energy balance and provides the p...
Breast cancer is a leading cause of mortality among women, resulting in more than half a million dea...
Being a non-histone protein, Ki-67 is one of the essential biomarkers for the immunohistochemical as...
BACKGROUND: Knowledge-based planning (KBP) is a promising technique that can improve plan quality an...
Machine learning applications for personalized medicine are highly dependent on access to sufficient...