Research led by the University of Essex and Check4Cancer has developed a new AI framework that can detect 85 percent of skin cancer when combined with some of the existing assessment metrics. The framework called C4C Risk Score is embedded with skin lesion metadata collection, identification of a new list of skin cancer risk factors, and proposal of a new risk score, which effectively classifies skin lesions into suspicious and non-suspicious classes. This decision-aid by telemedicine reporters has proven its potency with a balanced accuracy of 71%.
New AI framework can precisely detect 85 percent of skin cancer
Using AI Framework for early skin cancer detection
Explore more ..
Kimchi Bacteria May Help Flush Nanoplastics from the Body
The discovery points to an unexpected connection between a traditional fermented food and one of the most pressing concerns in modern environmental health.
High-fat diets and memory loss- A reversible story
Machine learning identifies early depression signals in facial patterns.
Why alcohol halts liver regeneration, even after quitting
New research links inflammation to faulty RNA processing
Breakthrough stool test could replace invasive colonoscopies
An artificial intelligence-based approach to diagnose colorectal cancer from the gut microbiota.



