Receive a weekly summary and discussion of the top papers of the week by leading researchers in the field.

In Future oncology (London, England)

Artificial intelligence (AI) is a complex technology with a steady flow of new applications, including in the pathology laboratory. Applications of AI in pathology are scarce but increasing; they are based on complex software-based machine learning with deep learning trained by pathologists. Their uses are based on tissue identification on histologic slides for classification into categories of normal, nonneoplastic and neoplastic conditions. Most AI applications are based on digital pathology. This commentary describes the role of AI in the pathological diagnosis of the gastrointestinal tract and provides insights into problems and future applications by answering four fundamental questions.

Lino-Silva Leonardo S, Xinaxtle Diana L


artificial intelligence, convolutional neural networks, deep learning, histology, machine learning, pathologic diagnosis, pathology