Colon Cancer

Artificial intelligence in colonoscopy - Now on the market. What's next?

Adoption of artificial intelligence (AI) in clinical medicine is revolutionizing daily practice. In ...

A Review on Multi-organ Cancer Detection Using Advanced Machine Learning Techniques.

Abnormal behaviors of tumors pose a risk to human survival. Thus, the detection of cancers at their ...

Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study.

BACKGROUND: Detecting microsatellite instability (MSI) in colorectal cancer is crucial for clinical ...

Artificial intelligence in upper GI endoscopy - current status, challenges and future promise.

White-light endoscopy with biopsy is the current gold standard modality for detecting and diagnosing...

Prognosticating Outcome in Pancreatic Head Cancer With the use of a Machine Learning Algorithm.

The purpose of this project is to identify prognostic features in resectable pancreatic head adenoc...

Colorectal Cancer Detected by Machine Learning Models Using Conventional Laboratory Test Data.

Current diagnostic methods for colorectal cancer (CRC) are colonoscopy and sigmoidoscopy, which are...

[Application of artificial intelligence technology in the diagnosis and treatment of colorectal cancer].

The combination of artificial intelligence (AI) technology and medicine is an important milestone in...

[Pathological diagnosis of lung cancer based on deep transfer learning].

To establish an artificial intelligence (AI)-assisted diagnostic system for lung cancer via deep tr...

Prediction of clinically actionable genetic alterations from colorectal cancer histopathology images using deep learning.

BACKGROUND: Identifying genetic mutations in cancer patients have been increasingly important becaus...

Use of Natural Language Processing to Assess Frequency of Functional Status Documentation for Patients Newly Diagnosed With Colorectal Cancer.

This cross-sectional study applies natural language processing to electronic health records from a l...

Artificial intelligence for polyp characterization: Don't save on your competence!

Artificial intelligence for colonoscopic polyp detection: High performance versus human nature.

A fatal invasive pulmonary infection in an adult patient with malignant lung adenocarcinoma.

BACKGROUND AND PURPOSE: complex as a ubiquitous environmental mold is increasingly reported to caus...

Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.

PURPOSE: Considerable progress has been made in the assessment and management of non-small cell lung...

Colon capsule endoscopy versus CT colonography after incomplete colonoscopy. Application of artificial intelligence algorithms to identify complete colonic investigations.

BACKGROUND: Guidelines suggest computed tomography colonography (CTC) following incomplete optical c...

Effectiveness of a Deep-learning Polyp Detection System in Prospectively Collected Colonoscopy Videos With Variable Bowel Preparation Quality.

BACKGROUND: Colonoscopy is the gold standard for polyp detection, but polyps may be missed. Artifici...

Using Computer-Aided Polyp Detection During Colonoscopy.

Computer-Aided Diagonosis for Colorectal Cancer using Deep Learning with Visual Explanations.

Detection, diagnosis, and removal of colorectal neoplasms are well-accepted colorectal cancer preven...

Artificial Intelligence for Understanding Imaging, Text, and Data in Gastroenterology.

Artificial intelligence (AI) could change the practice of gastroenterology through its ability to bo...

[Application of convolutional neural network to risk evaluation of positive circumferential resection margin of rectal cancer by magnetic resonance imaging].

To explore the feasibility of using faster regional convolutional neural network (Faster R-CNN) to ...

Advanced Machine Learning in Prediction of Second Primary Cancer in Colorectal Cancer.

Colorectal cancer (CRC) ranked third among most commonly diagnosed cancers worldwide. The onset of s...