A low-cost, smartphone-based imaging system could be used by dental professionals to detect oral cancer in minutes. Researchers at Rice University have developed a system – called mDOC – that combines white light and autofluorescence imaging with machine learning to assess oral lesions. With an average imaging time of 3.5 minutes, the team believe it could help…