In the past few decades, according to the rapid development of information technology,
artificial intelligence (AI) has also made significant progress in the medical field. Colorectal …

AI-assisted screening and prevention programs have the potential to revolutionize disease
management and improve public health outcomes. By harnessing the power of artificial …

(1) Background: Colon polyps are common protrusions in the colon's lumen, with potential
risks of developing colorectal cancer. Early detection and intervention of these polyps are …

Background and aim Artificial intelligence (AI) technology has been increasingly developed
in oral and maxillofacial imaging. The aim of this systematic review was to assess the …

Colorectal cancer is one of the most frequent malignancies. Colonoscopy is the de facto
standard for precancerous lesion detection in the colon, ie, polyps, during screening studies …

In this study, to address the current high early-detection miss rate of colorectal cancer (CRC)
polyps, we explore the potentials of utilizing transfer learning and machine learning (ML) …

This study proposes a novel diagnosis framework to decrease the early detection miss rate
of colorectal cancer (CRC) polyps by using a hypersensitive vision-based tactile sensor …

Unprecedented opportunities for early stage cancer detection have recently emerged from
the characterization of the personalized protein corona (PC), ie, the protein cloud that …

Background Amino acid metabolism plays a vital role in cancer biology. However, the
application of amino acid metabolism in the prognosis of colon adenocarcinoma (COAD) …

Deep learning object-detection models are being successfully applied to develop computer-
aided diagnosis systems for aiding polyp detection during colonoscopies. Here, we …