Computational pathology is currently witnessing a surge in the development of AI
techniques, offering promise for achieving breakthroughs and significantly impacting the …

During the last decade, a dramatic rise in the development and application of artificial
intelligence (AI) tools for use in pathology services has occurred. This trend is often …

Abstract Computational Pathology (CPath) is an interdisciplinary science that augments
developments of computational approaches to analyze and model medical histopathology …

Computational pathology refers to applying deep learning techniques and algorithms to
analyse and interpret histopathology images. Advances in artificial intelligence (AI) have led …

Background Artificial intelligence (AI) is rapidly fuelling a fundamental transformation in the
practice of pathology. However, clinical integration remains challenging, with no AI …

Aims Artificial intelligence (AI) provides a powerful tool to extract information from digitised
histopathology whole slide images. During the last 5 years, academic and commercial …

Histopathology plays a fundamental role in the diagnosis and subtyping of solid tumors and
has become a cornerstone of modern precision oncology. Histopathological evaluation is …

Simple Summary The quality of care available to cancer patients is highly constrained by the
presence of comprehensive pathology services. However, pathology infrastructure is …

Integrating artificial intelligence (AI) tools in the tissue diagnostic workflow will benefit the
pathologist and, ultimately, the patient. The generation of such AI tools has two parallel and …

Artificial intelligence (AI) technologies have the potential to transform cytopathology practice,
and it is important for cytopathologists to embrace this and place themselves at the forefront …