⚠ Démonstration conceptuelle — tous les paramètres (ISQ, PSO, corrélations, BIC, coûts) sont simulés et illustratifs. Aucune validation clinique achevée à ce jour.
← AGIS Platform
Concept demo (public) · ZTM-AGIS-2026-rev3
00:00
Module 01 — R30 · R31 · R32 · R33
OPG Panoramic Acquisition & Preprocessing
Distortion correction · U-Net alveolar segmentation · 64×64px ROI extraction · No CBCT required
R1(a)R30(a)R30(b) R30(c)R30(d)R31 R32R33
Panoramic OPG radiograph loaded
2616×1456 px · 85 µm/px · 8 bit
✓ 98% of clinics equipped
Preprocessing pipeline (R30)
1
Automatic modality detection
Waiting...
2
Geometric distortion correction
Waiting...
3
U-Net alveolar segmentation (R33)
Waiting...
4
Metal artifact removal
Waiting...
5
64×64 px ROI extraction (mROI · aROI · dROI)
Waiting...
Progress0%
Module 02 — R2 · R8 · R9 · R17 · R32
Multi-Branch CNN — Bone Structural Parameter Extraction
3 parallel convolutional branches · Embedding E [256D] · PSO ∈ [0,100] · No variogram (R9)
R2R8 (α₁α₂α₃) R9 ✗ variogrammeR17 (ondelettes db4) R32 (modal)
CNN extractor architecture (CNFE-OPG)
α₁ · 3×3
32 filters · ReLU · max-pool 2×2
Micro-trabecular architecture 50–250 µm
α₂ · 5×5
32 filters · ReLU · avg-pool 2×2
Meso-trabecular 250–750 µm
α₃ · atrous d=3
32 filters · dilation=3 · ERF 13×13
Macro-architecture 750–2250 µm
Concaténation
96D → FC-512 (BN, drop 0.3) → FC-256 → E [256D]
PSO = wᵀ·E + b ∈ [0, 100]
Explicit exclusion (R9) — FTO Medimaps protection
✗ variogramme γ(δ) = (1/2N)×Σ[I(x)−I(x+δ)]²
✗ log-log slope β · ✗ sill · ✗ range · ✗ nugget
✗ variographic curve area
Bone Structural Parameter computed
PSO ∈ [0, 100] · correlated to in vivo ISQ
0 — Dense50100 — Atrophic
Enriched radiomic vector φ [273D]:
E [256D] DF box-count db4 × 12 coeff. 5 first-order stats
Pearson correlation r (calibration set)
p-value (illustrative)
Detected modality
CPU inference time
Module 03 — R3 · R11 · R20
Classification Osseuse & Prédiction ISQ Préopératoire
CNN_CLASS 12 layers · Softmax 3 classes A/B/C · Predicted ISQ with 95% CI · Peri-implant µ-strain
R3(d)R11 (CNN_CLASS) R20 (3 classes)R15 (ISQ préop.)
A
ISQ ≥ 70
Dense Bone · D1–D2
—%
Lekholm-Zarb Type I–II
B
ISQ 45–69
Intermediate Bone · D3
—%
Lekholm-Zarb Type III
C
ISQ < 45
Spongy Bone · D4
—%
Lekholm-Zarb Type IV–V
Pre-operative ISQ Prediction
Pre-operative ISQ · 95% CI:
Target correlation (illustrative) · clinical validation pending
0.72
AGIS (OPG)
vs
0.68
Manual CBCT
Complementary Data
Peri-implant µ-strain
CNN_CLASS confidence score
Recommended implantation protocol
Failure risk (5 years)
TYPE IV SENSITIVITY (atrophic bone)
94% AGIS vs 87% manual CBCT — projected target
Module 04 — R4 · R12 · R13 · R15
Generative Design & Digital Twin
Adaptive TPMS-Gyroid topology · Sigmoid porosity gradient · Eeq ≤ 1.5 × E_os · STL/3MF model
R4(d)R12 (TPMS-G) R13 (sigmoïde)R15 (interface)
TPMS-Gyroid topology visualisation
Class B → TPMS-Gyroid Unit G-surface cos(x)sin(y)+cos(y)sin(z)+cos(z)sin(x)=t
Sigmoid porosity gradient P(z)
Apex z=0 · 50%z₀ = 0.42 (cortical front)Neck z=1 · 65%
Calculated parameters (Class B)
Selected topology
Graded porosity
Calculated Eeq modulus
E_os_local (estimated)
Constraint Eeq ≤ 1.5 × E_os
Target pore size
Inflection point z₀
Output format
GRADIENT FORMULA (R13)
P(z) = P_min + (P_max − P_min)
       / (1 + exp(−k(z − z₀)))
k ≥ 4 · z₀ = front cortical détecté
Module 05 — R5 · R14 · R23 · R24
ZTM14N EFEM Implant — SLM Monolithic Manufacturing
Ti-19Nb-14Zr at% · E ≤ 40 GPa · EFEM thermal deployment at 37°C · BIC: preclinical objective (not demonstrated)
R5(a-d)R14 (mécanismes) R23 (ZTM14N)R24 (fonct.) L1 · L3 (brevets accordés)
Customised implant — generated model
Mandibular bone site · Class B prosthetic collar threaded body Ti-19Nb-14Zr at% E ≤ 40 GPa TPMS-Gyroid 50→65% porosité SLM monobloc TPMS apex EFEM deployment at 37°C TiO₂ HAp/RGD BIC: objectif préclinique (non démontré) Obaton et al., Appl. Sci. 2023
Spécifications matériau & process
L1 — ZTM14N Alloy (granted patent EP+US)
CompositionTi-19Nb-14Zr at%
Elastic modulus≤ 40 GPa
vs Ti-6Al-4V standard2.75× closer to bone
Phaseβ-metastable
L2 — SLM Process (granted patent EP+US)
ProcessPBF-LB (Laser Powder Bed Fusion)
Layer thickness20–40 µm
Atmosphere< 5 ppm O₂
EFEM — Active deployment
Mechanism
Trigger temperature37°C (corps)
Deployment depth Δ
FunctionalizationTiO₂ nanoporeux · HAp · RGD · BMP-2
AGIS Clinical Report · Complete Analysis
Results & Comparison vs Manual CBCT Standard — projected targets
Concept demonstration of the AGIS workflow on panoramic OPG (illustrative, not clinically validated)
Predicted ISQ
36
Classe C (illustratif) · IC95% [30–42]
Analysis time
3.2 min
Cible projetée · vs 15–20 min standard
Cost per session
<5
Cible projetée · vs 150–300 € CBCT+expert
Type IV sensitivity
94 %
Cible projetée · vs 87% manuel
CLINICAL RECOMMENDATION
Class C (illustrative) — Os spongieux (D4)
▸ ISQ prédit : 36 ± 6 (IC 95%)
▸ Implant deployable EFEM recommandé
▸ Topologie TPMS-Gyroid · Eeq = 12 GPa
▸ Porosité 50→65% gradient sigmoïde k=4.2
▸ Protocole : delayed loading 8 weeks
▸ RFA follow-up post-insertion D7 · D30 · D90
AGIS vs Standard — projected targets (illustrative)
ISQ correlation
0.72
AGIS OPG (projeté)
0.68
Manual CBCT
Duration (min)
3.2 min
AGIS OPG (projeté)
17 min
Manual CBCT
Type IV sensitivity
94%
AGIS OPG (projeté)
87%
Manual CBCT
Cost (€/case)
<5 €
AGIS OPG (projeté)
225 €
Manual CBCT
Claims activated in this demonstration
R1(a-e)R2R3(a-d) R4(a-f)R5(a-d)R8 α₁α₂α₃ R9 ✗var.R11 CNN_CLASSR12 TPMS-G R13 sigmoïdeR14 EFEMR15 µ-strain R20 A/B/CR23 ZTM14NR24 fonct. R30(a-f)R31 TPSR32 modal R33 U-NetR34 intégration
Educational demonstration in accordance with patent ZTM-AGIS-2026-rev3 · ZTi-Technologies Holding © 2026 · IP Counsel: IP Trust, Paris
All values shown (PSO, ISQ, correlations, sensitivity, BIC, costs) are SIMULATED for illustrative purposes. No clinical validation has been completed to date.
Figures are illustrative targets, not measured results. Clinical study in setup.