How AI in Dentistry Could Reduce Diagnostic Errors and Save Lives
Fatigue is one of the most dangerous risks in medical diagnostics. At the University of Maryland School of Dentistry, Ahmed Sultan, BDS, PhD, is using artificial intelligence to support pathologists and radiologists in detecting oral cancers earlier and more accurately.
This NIH-funded research could revolutionize dental care — minimizing human error and improving patient outcomes.
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