Latest AI and machine learning research in colon cancer for healthcare professionals.
OBJECTIVE: BRAF is the most common mutation found in thyroid cancer and is particularly associated w...
OBJECTIVE: To construct a postoperative recurrence prediction model for patients with T1 colorectal ...
The detection of early-stage diseases is often impeded by the low concentrations of protein biomarke...
BACKGROUND: Investigations into the intricacies of glycosylation modifications, a prevalent post-tra...
Preoperative ultrasound examination of thyroid nodules is the most economical and effective screenin...
Radiologists are prone to missing some colorectal cancers (CRCs) on routine abdominopelvic CT exami...
BACKGROUND: Radiomics has shown promise in the diagnosis and prognosis of lung cancer. Here, we inve...
Colorectal cancer (CRC) is a major cause of cancer-related mortality, highlighting the need for accu...
Most classification efforts for primary subtypes of lung adenocarcinoma (LUAD) have not yet been int...
Early detection of colonic polyps is crucial for the prevention and diagnosis of colorectal cancer. ...
RATIONALE AND OBJECTIVES: To develop and validate a computed tomography-based radiomics nomogram for...
Recent studies have demonstrated that integrating AI into colonoscopy procedures significantly impro...
Colorectal cancer (CRC) is the second popular cancer in females and third in males, with an increase...
Colorectal cancer plays a dominant role in cancer-related deaths, primarily due to the absence of ob...
Machine learning and its specialized forms, such as Artificial Neural Networks and Convolutional Neu...
This review examines the application of natural language processing (NLP) techniques in cancer resea...
PURPOSE: This multicenter study aimed to develop and validate a multiscale deep learning radiomics n...
Alzheimer's disease (AD) is a complex neurodegenerative disorder that currently lacks effective trea...
Tumor cellularity (TC) in lung adenocarcinoma slides submitted for molecular testing is important in...
Mismatch repair deficiency (dMMR), also known as high-grade microsatellite instability (MSI-H), is a...
OBJECTIVES: To evaluate the efficiency of super-resolution deep-learning reconstruction (SR-DLR) opt...