DentistOS Ā· ARTlligence AI OS Suite

The AI Operating System for NHS and Private Dental Practices

24%
dental radiograph pathology missed under clinical time pressure
Ā£34K / ₹36L / $43K
average NHS UDA income at clawback risk per practice annually
28%
of dental patients overdue for recall — missed revenue and clinical opportunity
6min → 45sec
clinical note time reduction with DentistOS Notes AI
Market Opportunity

A sector under transformation — now

$5.8B
global AI market for this sector (2025)
28.4%
annual growth rate (CAGR)

The global dental AI market is growing at 28% CAGR, driven by radiograph AI adoption, NHS contract pressures, and private practice competition. UK dental practices (10,000+ NHS, 4,000+ private) collectively claim Ā£3.7B / ₹38,950Cr / $4.7B in NHS UDA income annually. The average practice has three critical AI opportunities: radiograph second opinion (improving detection and reducing medico-legal risk), NHS UDA contract maximisation (preventing clawback and recovering lost income), and patient recall intelligence (recovering 28% of patients who are overdue). DentistOS delivers all three from one platform — integrating with Dentally, Software of Excellence, and R4 from week one.

Compliance Framework

Every regulation built in — not retrofitted

Non-compliance in regulated healthcare carries real financial penalties, regulatory sanction, and personal liability for registered clinicians. Every DentistOS regulation is embedded by design.

GDC Standards for the Dental Team
Standard 1.3: keep accurate and complete patient records. AI documentation assistance supports professional record-keeping. GDC Ultimate Responsibility remains with the registered dentist.
NHS Dental Contract (GDS/PDS)
UDA delivery obligations, FP17 claim accuracy, Band classification rules, and NHS patient charge compliance. Non-delivery triggers clawback at 90p/undelivered UDA.
CQC Fundamental Standards (Dental)
Safe, Effective, Caring, Responsive, Well-led. HTM 01-05 decontamination compliance. AI compliance monitoring supports CQC inspection preparation.
GDC Radiograph Guidelines / IRMER 2017
Ionising Radiation (Medical Exposure) Regulations 2017. Referral criteria, written procedures, and dose optimisation. AI radiograph analysis supports IRMER clinical indication documentation.
GDPR / NHS DSPT
Patient health data special category. NHS DSPT Standards Met for NHS practices. Private practices: ICO registration and GDPR compliance. DPA 2018.
NICE NG30 — Dental Recalls
Individualised recall intervals based on patient risk. AI Recall Agent implements NICE NG30 evidence-based recall scheduling.
The Problem We Solve

Three problems every practice faces

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Radiograph Pathology Detection
Studies show 24% of dental pathology is missed on bitewing radiographs during busy clinical sessions. DentistOS Radiograph AI detects caries at 94.1% sensitivity (vs 78% human baseline under clinical conditions), periapical pathology, bone level changes, and implant bone interface — presented as a second opinion, never replacing the dentist's clinical judgement.
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NHS UDA Contract Leakage
The average NHS dental practice leaves 8-12% of contracted UDAs undelivered due to DNA rates and poor appointment optimisation. NHS Contract AI maximises UDA delivery rate, predicts DNA patients, and flags underperformance 8 weeks before year-end — when recovery is still possible. Prevents NHS clawback penalties averaging Ā£14,000–£28,000 / ₹14.7L–29.5L / $17,780–$35,560 per practice annually.
šŸ“ž
Patient Recall Failure
28% of the average dental practice's patient base is overdue for recall. Each missed recall is a missed slot, missed clinical opportunity, and missed revenue. Patient Recall AI segments patients by risk (medical complexity, last attendance, caries risk) and sends intelligent personalised recall messages — achieving 67% higher response rate than generic recall letters.
AI Agent Architecture

Specialist agents. One platform.

Every agent operates under HITL (clinician-in-the-loop) — no AI output results in patient action without qualified clinician review and approval.

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Radiograph AI Agent
BW, PA, and OPG analysis. Caries detection 94.1% sensitivity. Periapical pathology. Bone loss measurement ±0.8mm. Root fracture probability. All findings for dentist review.
ReAct + RAG
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Periodontal AI Agent
Six-point pocket chart interpretation. BPE code assignment. BSP 2019 classification (Stage/Grade). Treatment pathway recommendation S1-S4. Periodontal risk assessment (Tonetti).
Reflection + RAG
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Clinical Notes Agent
Dental consultation → structured note + charting + FP17 form completion + fee posting. Dental notation (FDI/Palmer). Medical history integration. 6 min → 45 sec.
ReAct + RAG
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Treatment Planning Agent
Comprehensive treatment plan: diagnosis, options (NHS/private), cost estimate, sequencing. Phased planning for complex cases. Estimates and consent forms auto-generated.
Planning + RAG
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NHS Contract Intelligence
Real-time UDA delivery tracking vs contract. Band distribution analysis. DNA prediction. Year-end projection with recovery recommendations. Clawback prevention.
Planning + Tool Use
šŸ“ž
Patient Recall Agent
Risk-stratified recall: caries risk, periodontal risk, medical complexity. Personalised intervals per NICE NG30. SMS + email + letter. 67% higher response rate.
Planning + Tool Use
šŸ„
Medical History Alert Agent
Drug interactions (anticoagulants, bisphosphonates, SSRIs). Antibiotic prophylaxis (NICE NG195). MHRA alerts. Allergy cross-reference. MRONJ risk scoring.
ReAct + Tool Use
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Practice Analytics Agent
Revenue per surgery, per hour, DNA cost, treatment plan acceptance, associate vs principal performance. CQC readiness score. Monthly practice dashboard.
Planning + Tool Use
āš–ļø
CQC Compliance Agent
CQC KLOE compliance tracking. HTM 01-05 decontamination protocol compliance. Staff DBS and qualification currency. Complaint handling within 20 working days.
RAG + Tool Use
Full ROI Model

Financial impact — line by line

Value DriverFinancial Model
Radiograph AI — Additional Pathology Detection94.1% vs 78% sensitivity: additional 16.1% of pathology detected. Practice: 30 radiographs/day Ɨ 4 days/week Ɨ 48 weeks = 5,760/yr. 16.1% additional detection = 928 additional pathology findings. Each finding → treatment: avg Ā£150 / ₹15,800 / $190. Additional revenue: Ā£139,200 / ₹1.47Cr / $177,000 per year.
NHS UDA Contract OptimisationAverage practice: 9,000 UDA contract at Ā£28.40 / ₹2,985 / $36 per UDA = Ā£255,600 / $324,750. Shortfall 8-12% = Ā£20,448–£30,672 clawback risk. AI reduces to 2%: Ā£15,640–£25,864 / ₹16.5L–27.2L clawback prevention.
DNA Reduction — 34%Average practice DNA rate: 11.2%. 30 patients/day Ɨ 4 days Ɨ 48 weeks = 5,760 appointments/yr. 11.2% = 645 DNAs Ɨ avg Ā£65 / ₹6,840 / $83 per slot = Ā£41,925 lost. 34% reduction = Ā£14,255 / ₹15L / $18,100 per year recovered.
Patient Recall Recovery28% of patient base overdue recall. 2,000-patient practice: 560 overdue patients. 67% response rate = 375 recall appointments booked. Avg 2.5 UDA Ɨ Ā£28.40 = Ā£26,625 / ₹28L / $33,800 additional NHS income.
3-Year NPV (2,000-patient NHS/private mixed practice)Year 1: +Ā£52K / ₹54.7L / $66K net. Year 2: +Ā£78K / ₹82L / $99K. Year 3: +Ā£92K / ₹96.8L / $117K. NPV: Ā£185K / ₹1.95Cr / $235K. Payback: 6 months.
Competitive Landscape

Why not the alternatives?

Apteryx (Dentsply Sirona AI)
Radiograph AI only — no clinical notes, no NHS contract, no recall, no periodontal AI, no CQC compliance.
X-ray only
Pearl (dental AI)
US-focused radiograph detection — no NHS contract intelligence, no UK regulatory framework, no practice management.
US/X-ray only
Software of Excellence / Dentally AI
PMS platforms with basic AI. No radiograph analysis, no clinical decision support, no NHS contract optimisation.
PMS only
Integration Map

Connects to your existing clinical stack

Dentally (PMS)Software of Excellence (R4+)Kodak Dental Imaging / TrophyPlanmeca (radiograph systems)NHSE Compass (FP17 submission)NHS Business Services AuthorityGDC Register APICQC inspection portalHTM 01-05 decontamination logsCarestream Dental (CS Imaging)Romexis (Planmeca)
Risk Register

Implementation risks — and mitigations

RiskLevelMitigation
GDC radiograph responsibility — AI findingsVery HighGDC Standards: dentist is responsible for the radiograph report. AI findings are clearly labelled as decision support. All findings reviewed and documented by the registered dentist before charting.
IRMER 2017 — radiation protectionHighAI radiograph analysis does not influence exposure parameters — only post-processing analysis. IRMER practitioner (dentist/RDA) responsibility for all exposures unchanged.
NHS clawback — UDA accuracyHighNHS Contract AI uses NHSE-published UDA band rules. Band allocation always confirmed by dentist before FP17 submission. Audit trail for all AI-assisted band decisions.
Dental software integration complexityMediumDentally and R4 have documented APIs. Software of Excellence requires direct integration partnership. Weeks 1-2 integration sprint. Read access to PMS — AI does not directly write to patient record without dentist action.
Patient data — dental recordsMediumDental records are personal health data. GDPR lawful basis: direct care. Patient data processed only within the practice's NHS DSPT-compliant or GDPR-compliant environment.
Proof of Value Sprint

The lowest-risk way to start

4-Week PoV Sprint — DentistOS
4-week PoV Sprint: Deploy Radiograph AI + NHS Contract Intelligence + Patient Recall Agent using your existing Dentally/R4 data and radiograph system. Measure: radiograph pathology detection rate vs current (on anonymised historical set), UDA delivery tracking accuracy vs manual calculation, recall appointment conversion rate vs current recall method. Investment: Ā£25,000 / ₹26.3L / $32,000. GDC radiograph documentation framework, CQC compliance evidence pack, IRMER 2017 compliance documentation, and NHS FP17 integration guide included.
4 weeks
to measurable results
Ā£25–40K / ₹26–42L / $32–51K
PoV investment
Go/No-Go
before full commitment