Executive Summary
DynamicBit sought to modernize and accelerate its dental diagnostic workflow. Traditionally, den ormalities, and writing treatment notes. This manual approach is slow, depends on clinician experience, and becomes difficult to scale with increasing patient volume. tists rely on manually examining dental images, evaluating each tooth, identifying abn DynamicBit implemented an AI-driven dental diagnostic system powered by ITTStar’s Generative AI solution on AWS.
The platform analyzes dental images, identifies all teeth, detects conditions, and generates structured diagnostic summaries with visual annotations. The AI-driven workflow reduces diagnostic effort by up to 75%, improves consistency, and significantly enhances operational efficiency across clinics.
Customer Challenge
Manual Tooth-by-Tooth Examination:Dentists manually inspected each tooth in the dental image often 28–32 teeth which was time-consuming and mentally demanding.
Slow Diagnostic Workflow:Identifying cavities, fractures, infections, restorations, and misalignment manually took several minutes per patient.
Variation in Diagnostic Accuracy:Findings varied between clinicians due to differences in experience and fatigue.
Manual Report Writing:Dentists had to write findings and treatment notes manually, increasing workload and formatting inconsistencies.
Difficult to Maintain Quality at Scale:Growing patient volumes made manual workflows unsustainable without compromising speed and accuracy.
No Automated Support:Legacy workflows lacked AI assistance for tooth detection, condition identification, or structured documentation.
ITTStar’s AI Solution
ITTStar developed a fully automated Dental Diagnostic AI Platform using AWS serverless architecture and Generative AI.
Key components include:
AI-Based Tooth Identification:Automatically detects and labels all teeth in dental images.
Condition Detection Using AI:Identifies cavities, fractures, bone loss, missing teeth, impacted teeth, calculus, and restorations.
Generative AI Clinical Reports:Produces structured tooth-level findings and draft treatment recommendations.
Visual Annotations:Adds bounding boxes and color-coded markers to highlight abnormalities.
Serverless Automation Pipeline:AWS Lambda and EventBridge enable fully automated processing.
Secure, Compliant Storage:Encrypted S3 storage, IAM/KMS-based access control, and DynamoDB for metadata tracking.
Why AWS?
- Serverless, scalable compute.
- Secure PHI-ready environment.
- Easy integration of LLM-based reasoning.
- High-performance parallel image processing.
Why DynamicBit Chose ITTStar?
- Strong Generative AI expertise.
- Proven healthcare automation experience.
- Ability to convert clinical workflows into AI systems.
- Rapid, scalable AWS-native solution design.
Results & Impact
- 75% Faster Diagnostics Reduced from ~8 minutes to under 2 minutes.
- Improved Diagnostic Consistency across clinicians.
- Instant AI-Generated Reports with annotations.
- 80% Reduction in Manual Documentation.
- Scalable architecture for multi-clinic expansion.
About DynamicBit
DynamicBit is an India based healthcare technology company focused on improving dental diagnostics using AI-driven solutions. The company works to reduce manual effort in dental image analysis by automating tooth identification, condition detection, and clinical report generation. By using advanced AI and cloud technologies, DynamicBit helps dental clinics improve diagnostic accuracy, maintain consistency across clinicians, and increase operational efficiency while supporting scalable workflows across multiple clinics.
Testimonial
ITTStar has been a reliable partner in meeting our staffing needs. Their ability to deliver skilled resources quickly, coupled with transparent communication and cost efficiency, has been invaluable in driving our projects forward.