AI in Dentistry and Eye Care: Spotting Problems Earlier

Dentists and optometrists rely heavily on images, such as X-rays, scans and photographs, which makes them natural candidates for AI support.

General information only, not medical advice.

• X-ray analysis: highlighting possible cavities, bone loss or other findings for the dentist to review.
• Treatment planning: digital models for crowns, aligners and implants.
• Practice admin: appointment reminders, notes and insurance paperwork.
• Patient education: visual explanations of conditions and treatments.
• Triage assistants that help patients decide how urgent a problem is.

• Retinal image analysis: screening for diabetic eye disease, glaucoma and macular degeneration.
• OCT scan interpretation support.
• Prescription and lens recommendations.
• Remote screening in areas with few specialists.
• Reading and vision-assist tools for people with sight loss.

• Earlier detection and consistent second opinions.
• More time for patient conversations.
• Wider access to screening.

• AI flags, clinicians decide. False positives and negatives happen.
• Over-treatment risk if findings are acted on without clinical judgement.
• Data privacy: images and records are sensitive.
• Bias: tools may perform differently across age, ethnicity or equipment types.
• Transparency: patients should know when AI is used in their care.

1. "Is AI used in my scans or planning?"
2. "Who reviews the results?"
3. "How is my data stored and shared?"
4. "What are my alternatives?"

AI is a promising second pair of eyes for clinicians. Regular check-ups and professional judgement stay at the centre of care.