AIMC Topic: Colorectal Neoplasms

Clear Filters Showing 731 to 740 of 794 articles

Predicting colorectal cancer tumor mutational burden from histopathological images and clinical information using multi-modal deep learning.

Bioinformatics (Oxford, England)
MOTIVATION: Tumor mutational burden (TMB) is an indicator of the efficacy and prognosis of immune checkpoint therapy in colorectal cancer (CRC). In general, patients with higher TMB values are more likely to benefit from immunotherapy. Though whole-e...

Natural Language Processing of Computed Tomography Reports to Label Metastatic Phenotypes With Prognostic Significance in Patients With Colorectal Cancer.

JCO clinical cancer informatics
PURPOSE: Natural language processing (NLP) applied to radiology reports can help identify clinically relevant M1 subcategories of patients with colorectal cancer (CRC). The primary purpose was to compare the overall survival (OS) of CRC according to ...

Development and Validation of an Image-based Deep Learning Algorithm for Detection of Synchronous Peritoneal Carcinomatosis in Colorectal Cancer.

Annals of surgery
OBJECTIVE: The aim of this study was to build a SVM classifier using ResNet-3D algorithm by artificial intelligence for prediction of synchronous PC.

Identification of colorectal cancer using structured and free text clinical data.

Health informatics journal
Colorectal cancer incidence has continually fallen among those 50 years old and over. However, the incidence has increased in those under 50. Even with the recent screening guidelines recommending that screening begins at age 45, nearly half of all e...

A novel classification method of lymph node metastasis in colorectal cancer.

Bioengineered
Colorectal cancer lymph node metastasis, which is highly associated with the patient's cancer recurrence and survival rate, has been the focus of many therapeutic strategies that are highly associated with the patient's cancer recurrence and survival...

The use of the da Vinci Xi robot system in colorectal cancer resections - why is it worth it?

Polski przeglad chirurgiczny
<b>Introduction:</b> Surgery using robotic systems is taking over an increasingly wider field of open surgery and laparoscopy. Recently, this is particularly visible in colorectal surgery, where the advantages include better insight into ...

A Novel Predictive Model for Anastomotic Leakage in Colorectal Cancer Using Auto-artificial Intelligence.

Anticancer research
AIM: Anastomotic leakage (AL) in left-sided colorectal cancer is a serious complication, with an incidence rate of 6-18%. We developed a novel predictive model for AL in colorectal surgery with double-stapling technique (DST) anastomosis using auto-a...

[Identifying Molecular Subtypes of Whole-Slide Image in Colorectal Cancer via Deep Learning].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
OBJECTIVE: To establish an artificial intelligence-assisted diagnosis system for molecular subtyping of colorectal cancer (CRC).