Colorectal cancer (CRC) is the third most common malignancy worldwide, with
approximately 50% of patients developing colorectal cancer liver metastasis (CRLM) during …

In recent years, the application of advanced analytics, especially artificial intelligence (AI), to
digital H&E images, and other histological image types, has begun to radically change how …

Background Machine learning (ML) has been introduced in various fields of healthcare. In
colorectal surgery, the role of ML has yet to be reported. In this systematic review, an …

Colorectal cancer is one common digestive malignancy, and the most common approach of
blood metastasis of colorectal cancer is through the portal vein system to the liver. Early …

Objective The aim of this study was the evaluation radiomics analysis efficacy performed
using computed tomography (CT) and magnetic resonance imaging in the prediction of …

Objectives Machine learning (ML) for medical imaging is emerging for several organs and
image modalities. Our objectives were to provide clinicians with an overview of this field by …

Objectives To establish and validate a machine learning-based CT radiomics model to
predict metachronous liver metastasis (MLM) in patients with colorectal cancer. Methods In …

Artificial intelligence (AI) has the potential to revolutionize surgery in the coming years. Still,
it is essential to clarify what the meaningful current applications are and what can be …

Computed tomography (CT) introduced medicine to digital imaging. This occurred in the
early 1970s and it was the start of the digital medical imaging revolution. The resulting …

Background: Artificial Intelligence (AI)-based analysis represents an evolving medical field.
In the last few decades, several studies have reported the diagnostic efficiency of AI applied …