Immunogenic cell death (ICD) is a stress-driven form of regulated cell death (RCD) in which
dying tumor cells' specific signaling pathways are activated to release damage-associated …

Introduction This study analyzes the existing academic literature to identify the effects of
artificial intelligence (AI) on human resource (HR) activities, highlighting both opportunities …

Glioblastoma (GBM) is the most aggressive and the most common primary brain tumor,
defined by nearly uniform rapid progression despite the current standard of care involving …

Background: Fully-automatic skull-stripping and tumor segmentation are crucial for
monitoring pediatric brain tumors (PBT). Current methods, however, often lack …

Brain tumor analysis in Magnetic Resonance Imaging (MRI) is crucial for accurate diagnosis
and treatment planning. However, the task remains challenging due to the complexity and …

Artificial intelligence (AI) and machine learning (ML) show promise in various medical
domains, including medical imaging, precise diagnoses, and pharmaceutical research. In …

Esthesioneuroblastomas (ENBs) present unique diagnostic and therapeutic challenges due
to their rare and complex clinical presentation. In recent years, artificial intelligence (AI) and …

The application of deep learning (DL) artificial intelligence techniques within the realm of
medical imaging, particularly in nuclear medicine, has emerged as a vibrant area of …

The integration of artificial intelligence (AI) into the field of medical diagnostics represents a
revolutionary advancement in healthcare. AI diagnosticians, powered by sophisticated …

Background Artificial Intelligence (AI) has emerged as a transformative force in the medical
field, revolutionizing the diagnosis and management of various diseases. Among these …