In this paper we describe attempts at building a robust model for predicting the length of
survival of patients with colorectal cancer. The aim of the research, reported in this paper, is …

In the past few years, Artificial Intelligence (AI) techniques have been applied to almost
every facet of oncology, from basic research to drug development and clinical care. In the …

Colorectal Cancer (CRC) has seen a dramatic increase in incidence globally. In 2019,
colorectal cancer accounted for 1.15 million deaths and 24.28 million disability-adjusted life …

The development of convolutional neural networks has achieved impressive advances of
machine learning in recent years, leading to an increasing use of artificial intelligence (AI) in …

Artificial intelligence (AI) is coming to medicine in a big wave. From making diagnosis in
various medical conditions, following the latest advancements in scientific literature …

Background and Aims Artificial intelligence (AI), specifically deep learning, offers the
potential to enhance the field of GI endoscopy in areas ranging from lesion detection and …

Colorectal cancer remains a leading cause of morbidity and mortality in the United States.
Advances in artificial intelligence (AI), specifically computer aided detection and computer …

Artificial intelligence (AI), a discipline encompassed by data science, has seen recent rapid
growth in its application to healthcare and beyond, and is now an integral part of daily life …

Background and aim The growing number of publications on the application of artificial
intelligence (AI) in medicine underlines the enormous importance and potential of this …

Artificial intelligence (AI) has enormous potential to support clinical routine workflows and
therefore is gaining increasing popularity among medical professionals. In the field of …