Session

Dental Science

Description

Artificial intelligence is shifting routine dentistry from manual interpretation to datadriven care. Vision algorithms now screen panoramic and cone-beam CT images in seconds, flagging caries, periapical lesions, and anatomical landmarks with specialist-level accuracy. Predictive models merge these findings with electronic records to forecast implant stability or periodontal risk before symptoms arise, enabling earlier, patient-specific interventions. Realworld studies report shorter chair time, more consistent diagnoses, and clearer patient communication when dentists use AI-annotated images at the point of care. Progress brings responsibility. Models trained on narrow datasets can overlook certain ages or anatomies; performance may drift as imaging protocols evolve; and the large data volumes involved demand strict privacy safeguards. Continuous local validation, bias monitoring, and transparent reporting are therefore essential. Evidence to date supports a clear conclusion: a dentist allied with well-governed AI delivers faster, more precise, and more consistent care than a dentist working alone. By embracing AI as a tool while preserving human judgment, empathy, and accountability, clinics can advance diagnosis, prevention, and patient trust without compromising ethical standards or clinical autonomy.

Keywords:

Artificial intelligence, dental imaging, diagnostic accuracy

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-982-41-2

Location

UBT Lipjan, Kosovo

Start Date

25-10-2025 9:00 AM

End Date

26-10-2025 6:00 PM

DOI

10.33107/ubt-ic.2025.117

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Oct 25th, 9:00 AM Oct 26th, 6:00 PM

AI in Dentistry: Human Insight Powered by Intelligent Tools

UBT Lipjan, Kosovo

Artificial intelligence is shifting routine dentistry from manual interpretation to datadriven care. Vision algorithms now screen panoramic and cone-beam CT images in seconds, flagging caries, periapical lesions, and anatomical landmarks with specialist-level accuracy. Predictive models merge these findings with electronic records to forecast implant stability or periodontal risk before symptoms arise, enabling earlier, patient-specific interventions. Realworld studies report shorter chair time, more consistent diagnoses, and clearer patient communication when dentists use AI-annotated images at the point of care. Progress brings responsibility. Models trained on narrow datasets can overlook certain ages or anatomies; performance may drift as imaging protocols evolve; and the large data volumes involved demand strict privacy safeguards. Continuous local validation, bias monitoring, and transparent reporting are therefore essential. Evidence to date supports a clear conclusion: a dentist allied with well-governed AI delivers faster, more precise, and more consistent care than a dentist working alone. By embracing AI as a tool while preserving human judgment, empathy, and accountability, clinics can advance diagnosis, prevention, and patient trust without compromising ethical standards or clinical autonomy.