Researchers developed an advanced AI tool for automatic analysis of colorectal cancer tissue slides. The new model outperformed all predecessors in the classification of tissue microscopy samples.
Infections with Salmonella can increase the risk of colon cancer. New research sheds light on how this bacterium can cause this. The findings provide new leads for new treatments.
Early detection is crucial for effective treatment of colorectal cancer, but the initial stages are easily missed during endoscopy screenings. With GI Genius, Medtronic presents an AI-powered tool to help detect precancerous lesions in real-time. In an upcoming large-scale trial, the intelligent endoscopy module will demonstrate its benefit in the clinical context.
Artificial intelligence (AI) can be used to great effect in colonoscopies to spot abnormalities potentially leading to bowel cancer. This is the result of the recently completed COLO-DETECT trial.
Can a look at a patient's DNA predict progress of their colorectal cancer? Findings from a new study could lead to improved possibilities for individualised therapies.
Why does obesity increase the risk of cancer and possibly metastasis? Researchers in Spain are currently investigating this very question.
When colorectal surgery was first performed with robotic assistance in 2014, the procedure was questioned about safety, efficacy, and outcomes. Today it is an established option. Well-trained surgeons use robotic surgical systems confidently. Numerous clinical studies have verified its intraoperative benefits for patients and surgeons alike, as well as very positive outcomes for patients.
Medical AI is advancing gastrointestinal endoscopy – but what happens when it contributes to a medical error? Legal experts are pioneering efforts to develop guidelines on medical AI liability.
A specific subtype of a microbe commonly found in the mouth has been identified that is able to travel to the gut and grow within colorectal cancer tumors, driving cancer progression.
Multiplex PET imaging technology could provide a ground-breaking new approach for diagnosing and treating bowel cancer patients, according to scientists in Glasgow.
Researchers work on the first prototype that applies AI to colorectal diagnosis. The prototype achieved a diagnostic acuity of 93.44% and a sensitivity of 99.7% in the detection of high-risk lesions.
An innovative solution based on nanotechnology and ultrasound could prevent over-treatment of patients with rectal cancer. The magnetomotive ultrasound system uses nanotechnology for reliable diagnosis of any spread of rectal cancer to nearby lymph nodes.
Researchers from Finland have developed an artificial intelligence tool for automatic colorectal cancer tissue analysis that outperforms prior methods.
For the first time, researchers show that AI-based predictions can deliver comparable results to clinical tests on biopsies of patients with colorectal cancer (CRC).
A mystery which has stumped bowel cancer researchers for decades, has been solved by scientists at the Cancer Research UK Beatson Institute and University of Glasgow.
Scientists from the University of Edinburgh have found that the accuracy of detecting bowel cancer is increased to almost 100% by carrying out a common test twice rather than once.
A new artificial intelligence model could bring much-needed clarity to doctors delivering prognoses and deciding on treatments for patients with colorectal cancer.
In a nationwide Swedish study of 207 births to women with an earlier diagnosis of colorectal cancer (CRC), researchers found an increased risk of both maternal and neonatal adverse outcomes.
In a promising study, Canadian researchers have shown for the first time in mice that modifying intestinal flora before surgery could reduce postoperative complications in colorectal cancer patients.
