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Artificial intelligence in gastrointestinal cancers: diagnostic, prognostic, and surgical strategies
GP Nagaraju, T Sandhya, M Srilatha, SP Ganji… - Cancer Letters, 2025 - Elsevier
GI (Gastrointestinal) malignancies are one of the most common and lethal cancers globally.
The dawn of precision medicine and develo** technologies have reduced the mortality …
The dawn of precision medicine and develo** technologies have reduced the mortality …
Molecular-driven Foundation Model for Oncologic Pathology
“Artificial histology” in colonic Neoplasia: A critical approach
Background The histological assessment of colorectal precancer and cancer lesions is
challenging and primarily impacts the clinical strategies of secondary colon cancer …
challenging and primarily impacts the clinical strategies of secondary colon cancer …
Explainable histopathology image classification with self-organizing maps: a granular computing perspective
The automatic analysis of histology images is an open research field where machine
learning techniques and neural networks, especially deep architectures, are considered …
learning techniques and neural networks, especially deep architectures, are considered …
Integrated multicenter deep learning system for prognostic prediction in bladder cancer
Q He, B **ao, Y Tan, J Wang, H Tan, C Peng… - NPJ Precision …, 2024 - nature.com
Precise survival risk stratification is crucial for personalized therapy in bladder cancer (BCa).
This study developed and validated an end-to-end deep learning system using histological …
This study developed and validated an end-to-end deep learning system using histological …
[HTML][HTML] Construction of diagnostic models with machine-learning algorithms for colorectal cancer based on clinical laboratory parameters
D Si, Y Shu, H Jiang, X Lin, Q Yuan… - Journal of …, 2024 - pmc.ncbi.nlm.nih.gov
Background Colonoscopy remains the predominant diagnostic modality for colorectal
cancer (CRC), as the diagnostic performance of tumor markers in alone, particularly in the …
cancer (CRC), as the diagnostic performance of tumor markers in alone, particularly in the …
An optimized bidirectional vision transformer based colorectal cancer detection using histopathological images
R Choudhary, A Deepak, G Krishnasamy… - … Signal Processing and …, 2025 - Elsevier
The high death rate of colorectal cancer has a long-term impact on human life around the
world. Early detection of colorectal cancer leads to an increase in the survival rate of the …
world. Early detection of colorectal cancer leads to an increase in the survival rate of the …
[HTML][HTML] Gamma-Glutamyl Transferase Plus Carcinoembryonic Antigen Ratio Index: A Promising Biomarker Associated with Treatment Response to Neoadjuvant …
Y Yin, B Xu, J Chang, Z Li, X Bi, Z Wei, X Che, J Cai - Current Oncology, 2025 - mdpi.com
Background: Colorectal cancer liver metastasis (CRLM) is a significant contributor to cancer-
related illness and death. Neoadjuvant chemotherapy (NAC) is an essential treatment …
related illness and death. Neoadjuvant chemotherapy (NAC) is an essential treatment …
Artificial Intelligence for the Colorectal Surgeon in 2024–A Narrative Review of Prevalence, Policies, and (needed) Protections
KS Schultz, ML Hughes, WM Akram… - Seminars in Colon and …, 2024 - Elsevier
Artificial Intelligence (AI) touches innumerable aspects of our lives today. It plays our music,
turns on our lights, answers our weather questions, and even helps navigate our cars safely …
turns on our lights, answers our weather questions, and even helps navigate our cars safely …
A Framework for Evaluating Model Trustworthiness in Classification of Very High Resolution Histopathology Images
In computer vision, one approach to explaining a deep learning model's decision is to show
regions of visual evidence upon which the model makes a decision. Typically, this evidence …
regions of visual evidence upon which the model makes a decision. Typically, this evidence …