A FHIR-Native Dental Ontology
Globally, dental data standardization follows a dual model: HL7 FHIR for the data exchange format and SNOMED CT for clinical […]
A FHIR-Native Dental Ontology Read Post »
Globally, dental data standardization follows a dual model: HL7 FHIR for the data exchange format and SNOMED CT for clinical […]
A FHIR-Native Dental Ontology Read Post »
Earthquakes, tsunamis, and fires can erase fingerprints but seldom the records engraved in our teeth. Yet disaster victim identification (DVI)
Federated Dental Intelligence for Rapid Disaster Victim Identification Read Post »
Paperwork often delays care. Dental ID turns forms into a phone tap. After a quick face scan and My-Number (or
Dental ID: From Tap-in to Expert Care Read Post »
Dentists still write most electronic health records (EHRs) after treatment, creating extra work and leaving room for omissions or bias.
Enabling AI to Understand and Assist in Dental Treatments Read Post »
Advancements in AI are redefining teledentistry—extending diagnostic precision beyond the clinic walls. Our research demonstrates how deep learning models can
Teledentistry Powered by AI: Diagnosis Beyond the Chair Read Post »
Oral cancer often hides until treatment is difficult and costly. To catch it sooner, Dr Mansuang Wongsapai’s team turned village
Smartphone Oral-Cancer Checks Read Post »