Intelligent Health.tech Issue 24 | Page 42

I N D U S T R Y I N V E S T I G A T I O N
misdiagnosed the depth of carious lesions 40 % of the time . Another 20 % of the time they found lesions where there weren ’ t any . On the whole , a review of published research suggests that dentists fail to detect 43 % of all carious lesions visible in patient x-rays . The data on radiologic diagnosis of other conditions is only marginally better : On average , dentists miss between 24 % and 39 % of the calculus , margin discrepancies and periapical radiolucencies that show up in patient x-rays . Add to those findings the fact that , according to the American Dental Association , dentists see an average of 2.5 patients an hour , or around 20 per day , amounting to 3,300 teeth examined every week – it ’ s pretty clear that they could use some backup .
The implementation of AI at MAS Clinic represents a step forward in dental care offering improved diagnostic precision by minimising mistakes and pinpointing subtle shades , with tenfold the accuracy of human vision . Moreover , this AI system streamlines the analysis of X rays promptly producing detailed and user-friendly reports . By providing patients with visual aids and precise numerical information , this technology significantly boosts their
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