AI in Dentistry: Human Insight Powered by Intelligent Tools
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
Recommended Citation
Uka, Diella, "AI in Dentistry: Human Insight Powered by Intelligent Tools" (2025). UBT International Conference. 5.
https://knowledgecenter.ubt-uni.net/conference/2025UBTIC/DS/5
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.