When detected early, oral cancer survival rates are high, at about 80 percent. When it’s detected late, after symptoms are persistent, survival rates drop down to 50 percent or lower, depending on the ...

Analysis of an anatomic site using the mobile Detection of Oral Cancer (mDOC) model involves multiple inputs: images of clinically relevant regions are masked, cropped, resized for analysis, and ...

Researchers at Rice University have developed a low-cost, smartphone-based imaging system that uses AI to help dental professionals detect early signs of oral cancer and make more accurate referral ...