New AI-based technology helps clinicians make skin cancer diagnoses earlier

Canadian researchers created new technology that uses machine-learning and artificial intelligence to identify melanoma skin cancer earlier.

The research, presented at the 14th International Conference on Image Analysis and Recognition in Montreal from July 5 to July 7, details the technology that can examine images of skin lesions and offer objective data on melanoma biomarkers.

The system can decipher levels of biomarker substances in lesions and can add information to assessments based on appearance, such as changes in the concentration and distribution of eumelanin and hemoglobin. This can help providers more quickly determine if a lesion is cancerous.

"There can be a huge lag time before doctors even figure out what is going on with the patient," said Alexander Wong, a professor of systems design engineering at University of Waterloo in Canada. "Our goal is to shorten that process."

More articles on artificial intelligence:
Xavier Health launches AI effort targeting pharmaceutical, medical device industry
IBM, JDRF use AI to research Type 1 diabetes onset in children
Can AI improve cancer care in remote areas? 3 questions with Dr. Andrew Norden of IBM Watson Health

© Copyright ASC COMMUNICATIONS 2019. Interested in LINKING to or REPRINTING this content? View our policies by clicking here.


Top 40 Articles from the Past 6 Months