Purpose To assess generalizability of published deep learning (DL) algorithms for radiologic
diagnosis. Materials and Methods In this systematic review, the PubMed database was …

Cervical cancer remains a leading cause of cancer death in women, seriously threatening
their physical and mental health. It is an easily preventable cancer with early screening and …

Meningeal lymphatic vessels (MLVs) were identified in the dorsal and caudobasal regions of
the dura mater, where they ensure waste product elimination and immune surveillance of …

Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …

Objective Over the past years, the application of artificial intelligence (AI) in medicine has
increased rapidly, especially in diagnostics, and in the near future, the role of AI in medicine …

The present study aimed to explore the potential of artificial intelligence (AI) methodology
based on magnetic resonance (MR) images to aid in the management of prostate cancer …

As data-driven science, artificial intelligence (AI) has paved a promising path toward an
evolving health system teeming with thrilling opportunities for precision oncology …

Gynecologic (GYN) malignancies are gaining new and much-needed attention, perpetually
fueling literature. Intra-/inter-tumor heterogeneity and “frightened” global distribution by race …

Background Magnetic resonance imaging (MRI) is important for the early detection of axial
spondyloarthritis (axSpA). We developed an artificial intelligence (AI) model for detecting …

With the development of machine learning and deep learning models, artificial intelligence
is now being applied to the field of medicine. In oncology, the use of artificial intelligence for …