Artificial intelligence (AI) advancements, especially deep learning, have significantly
improved medical image processing and analysis in various tasks such as disease …

Artificial intelligence (AI) is rapidly transforming healthcare, and one of its most promising
applications is in the diagnosis and treatment of diseases. AI algorithms can analyze vast …

The diagnosis and treatment of breast cancer (BC) are significantly subject to medical
imaging techniques, with segmentation being crucial in delineating pathological regions for …

Background Breast cancer is the leading cause of cancer-related fatalities among women
worldwide. Conventional screening and risk prediction models primarily rely on …

Simple Summary This review provides a comprehensive overview of mammary Paget
disease (MPD) from its historical origins to the current diagnostic and treatment strategies …

Therefore, industry-driven and academia-driven models are not mutually exclusive.
Collaborative endeavours, such as the Papilio-1 BCMA CAR T-cell study (EudraCT 2022 …

The type 1 diabetes community is coalescing around the benefits and advantages of early
screening for disease risk. To be accepted by healthcare providers, regulatory authorities …

In the landscape of cancer treatment, particularly in the realm of breast cancer management,
effective communication emerges as a pivotal factor influencing patient outcomes. This …

The rapid advancement of artificial intelligence (AI) has significantly impacted various
aspects of healthcare, particularly in the medical imaging field. This review focuses on …

Mobile health apps are widely used for breast cancer detection using artificial intelligence
algorithms, providing radiologists with second opinions and reducing false diagnoses. This …