Recent advances in artificial intelligence (AI) present a broad range of possibilities in
medical research. However, orthopaedic researchers aiming to participate in research …

The combination of artificial intelligence and digital pathology has emerged as a
transformative force in healthcare and biomedical research. As an update to our 2018 …

Background: Artificial intelligence (AI) is increasingly entering and transforming not only
medical research but also clinical practice. In the last 10 years, new AI methods have …

Pathological images are important for diagnosis and prognosis of oral squamous cell
carcinoma (OSCC). However, it is difficult for pathologists to directly apply intuitive …

Introduction: Artificial intelligence (AI) is revolutionizing medical workflows, with self-learning
systems like ChatGPT showing promise in therapy recommendations. Our study evaluated …

With the rapid advancement of artificial intelligence (AI) technologies, including deep
learning, large language models, and neural networks, these methodologies are …

Background The progress in Colorectal cancer (CRC) screening and management has
resulted in an unprecedented caseload for histopathological diagnosis. While artificial …

Deep learning models have shown immense promise in computational pathology (CPath)
tasks, but their performance often suffers when applied to unseen data due to domain shifts …

From self-supervised, vision-only models to contrastive visual-language frameworks,
computational pathology has rapidly evolved in recent years. Generative AI" co-pilots" now …

Precise aircraft recognition in low-resolution remote sensing imagery is a challenging yet
crucial task in aviation, especially combat identification. This research addresses this …