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. #OralCancer #ArtificialIntelligence #NIHResearch #DentalInnovation #HealthcareAI #Radiology #BreakthroughsCantWait #Science #DentalSchool Learn more: https://vist.ly/3n5j835

What if your dentist had a second set of eyes — powered by AI — to help spot cancer earlier and improve patient outcomes?That’s the driving question behind the work of Ahmed Sultan, BDS, PhD, a pioneer in the use of artificial intelligence (AI) in oral health care. Sultan directs the Division of Artificial Intelligence Research at the University of Maryland School of Dentistry, the first such division at a dental school in the United States. His work is advancing a new era of diagnostics, where AI tools assist clinicians in detecting disease earlier, improving outcomes, and closing care gaps.“We’re seeing more administrative burden and clinician fatigue, which increases the risk of missing things,” Sultan explained. “AI can triage cases and flag abnormalities early, helping dentists and pathologists prioritize serious conditions before they’re overlooked.”🔗 Learn more: https://www.umaryland.edu/breakthroughs#NIHResearch #HealthcareInnovation #DiagnosticAccuracy #HospitalSafety #HealthTech #BreakthroughsCantWaitUMB #UMD #UMB #universityofmaryland #Dentistry #radiology #Science #artificialintelligence #aiinhealthcare