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-39% Planning Workflow Time

Improved treatment precision and reduced orthodontic workflow time using AI automation.

Built an AI-powered orthodontic planning system that improved precision and workflow efficiency for clinical teams.

Project: DIBS AI

HealthcareOrthodontics3D ImagingAI Automation

Executive Summary

A quick leadership snapshot of platform scope, delivery approach, and measurable outcomes.

Industry

Healthcare

Platform

Web Platform, Medical AI System

Tech Stack

AI Models, 3D Imaging, Node.js

Result

-39% Planning Workflow Time

Timeline

14 weeks

Service Category

AI / ML

Type

Client Project

Live Product

Explore the live project surfaces across web and app platforms.

Problem

Client Background

DIBS AI required a clinical-grade planning system to automate bracket placement and improve treatment predictability.

Critical Risk Area

Orthodontic planning remained highly manual, making treatment preparation slower and less consistent across cases.

  • Manual bracket placement consuming specialist time
  • Inconsistent treatment outcomes
  • Lack of predictive treatment simulation
  • Inefficient end-to-end planning workflows

Solution

Delivery Outcome

Developed an AI-enabled planning platform that processes 3D scans, automates bracket placement recommendations, and supports predictive simulation.

Why this approach

Combining clinical workflow tooling with AI-based simulation provided both speed and treatment planning precision.

3D scan processing pipeline

AI bracket placement engine

Predictive treatment simulation

Clinical workflow dashboard

Process

How we made key decisions, handled technical complexity, and applied engineering expertise to deliver measurable outcomes.

1

Product & Architecture Decisions

  • Integrated 3D imaging ingestion with model inference services
  • Built a scalable backend for simulation and treatment plan management
2

Technology Selection Reasoning

  • Model pipeline tuning for higher clinical output accuracy
  • Web platform architecture to support provider-side operational workflows
3

Complexity Managed

  • Reduced manual intervention in repeated planning steps
  • Improved output consistency across varied case complexity
4

System Design Approach

Delivered core 3D processing and placement automation first, then expanded simulation and dashboard workflows for daily clinical use.

Engineering Highlights

Key technical decisions that enabled production-grade reliability, maintainability, and system scale.

Backend Architecture Design

Integrated 3D imaging ingestion with model inference services

API Integrations

Implemented robust API integrations with explicit contracts, retries, and monitoring hooks.

Performance Optimization

Optimized critical execution paths to improve response times and reduce operational overhead.

Scalability Considerations

Built a scalable backend for simulation and treatment plan management

Data Processing Workflows

3D scan processing pipeline

Tech Stack

A modern technology stack selected to maximize performance, scalability, and delivery speed.

Our stack is selected for reliability, maintainability, and production scale.

Core Stack

AI Models
3D Imaging
Node.js
PostgreSQL

Supporting Tools

We also work with a wide range of modern technologies based on project requirements.

WebGL ToolingTypeScriptQueue WorkersAnalytics

Infrastructure / Workflow

Git
GitHub
GitLab
CI/CD
Code Reviews
Agile
Testing & QA

Results

Measured outcomes across efficiency, scalability, and system performance improvements.

Efficiency

-39%

Planning Workflow Time

Automation

+28%

Treatment Planning Accuracy

Scalability

+34%

Clinical Workflow Efficiency

Avg. Plan Preparation

Before

84 min

After

51 min

Manual Adjustments per Case

Before

7.2

After

4.1

Simulation Turnaround

Before

36 min

After

19 min

Business Impact Snapshot

  • Reduced treatment planning effort and improved orthodontic decision accuracy through AI-assisted clinical workflows.
  • DIBS AI improved orthodontic planning throughput and consistency with AI-assisted precision workflows tailored to clinical operations.

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