A new era in colorectal cancer: Artificial Intelligence at the forefront

Inspection of genetic factors, early CRC detection, late-stage CRC rapid prediction, treatment plan selection, metastatic biomarkers discovery, CRC types classification, CRC risk prediction, and CRC survival rate prediction highlight the critical contributions of AI in the CRC field.

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Publication Details

Journal
Computers in Biology and Medicine
Published
2025-08-15
DOI
https://doi.org/10.1016/j.compbiomed.2025.110926
Citations
9
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
12.24
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article

A new era in colorectal cancer: Artificial Intelligence at the forefront

Aram Farhoudian, Arash Heidari, Reza Shahhosseini
9 citations
Computers in Biology and Medicine
Radiomics and Machine Learning in Medical Imaging
12.24
article

A new era in colorectal cancer: Artificial Intelligence at the forefront

Aram Farhoudian, Arash Heidari, Reza Shahhosseini
article en
9 citations

Abstract

Inspection of genetic factors, early CRC detection, late-stage CRC rapid prediction, treatment plan selection, metastatic biomarkers discovery, CRC types classification, CRC risk prediction, and CRC survival rate prediction highlight the critical contributions of AI in the CRC field.

Computers in Biology and MedicineVol. 196(Pt C)
University of Trento (IT), University of Tehran (IR), Istanbul Medipol University (TR), Urmia University (IR), Urmia University of Medical Sciences (IR)
Openalex Percentile: Top 1%
Radiomics and Machine Learning in Medical Imaging
12.24
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