Colon Cancer

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

MOTIVATION: Tumor mutational burden (TMB) is an indicator of the efficacy and prognosis of immune ch...

Robotic, self-propelled, self-steerable, and disposable colonoscopes: Reality or pipe dream? A state of the art review.

Robotic colonoscopes could potentially provide a comfortable, less painful and safer alternative to ...

DEMoS: a deep learning-based ensemble approach for predicting the molecular subtypes of gastric adenocarcinomas from histopathological images.

MOTIVATION: The molecular subtyping of gastric cancer (adenocarcinoma) into four main subtypes based...

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

PURPOSE: Natural language processing (NLP) applied to radiology reports can help identify clinically...

Pretrained Neural Networks Accurately Identify Cancer Recurrence in Medical Record.

Cancer recurrence is the diagnosis of a second clinical episode of cancer after the first was consid...

Machine learning-driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteins.

RAS is a signaling protein associated with the cell membrane that is mutated in up to 30% of human c...

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

Colorectal cancer incidence has continually fallen among those 50 years old and over. However, the i...

Using the da Vinci X® - System for Esophageal Surgery.

Robotic esophageal surgery is becoming more widely adopted. Several publications on the feasibility,...

Predicting pancreatic ductal adenocarcinoma using artificial intelligence analysis of pre-diagnostic computed tomography images.

BACKGROUND: Early stage diagnosis of Pancreatic Ductal Adenocarcinoma (PDAC) is challenging due to t...

The Use of Machine Learning in MicroRNA Diagnostics: Current Perspectives.

MicroRNAs constitute small non-coding RNAs that play a pivotal role in regulating the translation an...

Weakly Supervised Learning for Poorly Differentiated Adenocarcinoma Classification in GastricEndoscopic Submucosal Dissection Whole Slide Images.

Endoscopic submucosal dissection (ESD) is the preferred technique for treating early gastric cancer...

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

Colorectal cancer lymph node metastasis, which is highly associated with the patient's cancer recurr...

Artificial intelligence in colonoscopy.

Artificial intelligence in colonoscopy.

[A Case of Robot Assisted Low Anterior Resection for a Patient with Persistent Descending Mesocolon].

Persistent descending mesocolon(PDM)is caused by absence of fusion of the descending colon to the re...

[Robot Assisted Lower Anterior Resection for Anastomotic Recurrence of Colorectal Cancer-A Case Report].

Patient undergoing R0 resection have the good survival advantage following surgery for recurrent rec...

Digital surgery for gastroenterological diseases.

Advances in machine learning, computer vision and artificial intelligence methods, in combination wi...

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

<b>Introduction:</b> Surgery using robotic systems is taking over an increasingly wider ...

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

AIM: Anastomotic leakage (AL) in left-sided colorectal cancer is a serious complication, with an inc...

EMS-Net: Enhanced Multi-Scale Network for Polyp Segmentation.

In recent years, polyp segmentation plays an important role in the diagnosis and treatment of colore...

APRNet: Alternative Prediction Refinement Network for Polyp Segmentation.

Colorectal cancer has become the second leading cause of cancer-related death, attracting considerab...