1000+ clinics. Canada, USA, Europe. The AI pipeline worked — but doctors couldn't use it. As Head of Design for 3 years, I rebuilt the entire experience: redesigned UX, built the design system, shipped two themes, and grew the platform from a single MVP to a four-product dental AI suite.
Under NDA. Product identity and client name are confidential. Screens shown are from the published case study on stepikin.ru. Real patient data and proprietary AI model internals are not disclosed. The platform is referenced here as "AI Dent."
Over 3 years the platform grew from a single AI radiology tool into a full dental AI suite. Each product required its own UX approach, user research, and design system work.
CBCT, panoramic, bitewing AI analysis with findings overlay. Patient records, report ordering, multi-clinic management.
AI-assisted prosthetic and orthodontic planning. Visualizes restoration scenarios and implant placement from scan data.
Native desktop app connecting AI Dent to clinic management systems (МИС). Bridges AI analysis with existing clinic software.
AI recording and transcription of dental consultations. Extracts key findings, auto-populates patient notes.
The platform launched in 2022 validating the AI pipeline as its north star. As it expanded internationally, six UX problems compounded into critical blockers.
Dense, unfiltered tables with no hierarchy. Finding a patient took 4–7 clicks. Doctors spent more time navigating than diagnosing.
Up to 11 tabs per patient with inconsistent IA. Critical AI findings were buried. Doctors routinely skipped entire sections.
Projection tools, tooth formula widgets, 2D/3D navigation — misunderstood by 70% of first-time users in corridor testing.
Moving between panoramic, bitewing, CBCT, and 3D views required multi-step flows. Radiologists lost context mid-report.
No light theme. Interface broke below 1280px. Unusable on calibrated white exam monitors and in bright clinic lighting.
Each sprint introduced new visual patterns. No component library, no token system. Inconsistency compounded with every release.
In-depth observation sessions with radiologists, therapists, prosthodontists, and orthodontists — in their actual clinic environments across three continents.
One-hour observation sessions in working clinics. We tracked how doctors actually moved between tools — not what they reported in surveys. Amplitude analytics tracked behavioral patterns at scale post-launch.
"I open the report, but I never know which part matters. Everything looks equally important."
— Radiologist, 8 years clinical experienceA/B interface tests, 5-second comprehension tests for navigation, corridor usability studies. Hypothesis testing before every major release. Post-launch feedback interviews at 3-month mark.
"The new patient list — I found my patient in two clicks. Before, it was 30 seconds every single time."
— Prosthodontist, Moscow · post-launch interview
Three parallel workstreams at all times — qualitative research, quantitative analytics, and design iteration. No stage-gated waterfall.
Clinic observation, 30+ interviews, Amplitude analysis
JTBD, user journeys, information architecture rework
Wireframes → high-fidelity → Figma Make prototypes
Usability testing, A/B experiments, live tracking
Each surface rebuilt from user behavior data. Five core flows — each with its own iteration arc and measurable outcome.
Original patient list: 4–7 clicks to reach any record. We ran 12 design iterations — testing layout, filter logic, card density — before landing on a 2-click solution.
Raw AI confidence scores doctors couldn't act on → structured diagnostic surface. Color-coded overlays, severity tiers, per-tooth finding cards, one-tap approve — no context switching.
11 tabs → single scannable page. New card surfaces what doctors need first: treating team, AI report status, "Create report" action — all without scrolling. Then: report grid, photos, history.
5-screen ordering flow with no progress indicators → single guided modal. Select scan → upload files → confirm. Ordering time: ~4 minutes down to under 60 seconds.
Radiology monitors calibrated for dark. General dentistry offices run on white walls and bright lighting. Both themes from a single token-based library — 200+ components, one source of truth.
Prosthetic and orthodontic planning tool built on CBCT scan data. Doctors place implants in 3D, visualize bone density, and model restoration scenarios — before any procedure starts.
Native Windows app bridging AI Dent into existing clinic management systems. Doctors see AI analysis, periodontal charts, and AI-generated consultation plans — directly inside their existing workflow.
Doctors check reports between appointments, present findings on tablets during consultations, and access patient status on phones during rounds. We rebuilt the responsive layer from scratch — both themes, all screen sizes.











Both themes built from the same token system — zero separate mobile design pass. The design system adapted automatically from radiology workstations (2560px) down to iPhone SE (375px). Per-clinic theme saved in account settings.
Measured via Amplitude analytics, post-launch clinic interviews, and support ticket volume before vs. after each major release.