Better Diagnostics Caries Assist (BDCA) Version

by Better Diagnostics AI Corp.  · Based in United States → — Smarter Diagnostics & Better Care
Dentistry

Contact vendor for pricing
Regulatory Status Disclosed

Overview

Better Diagnostics Caries Assist (BDCA) Version 1.0 is an AI-powered software tool designed to help dentists automatically identify and mark areas of tooth decay (carious lesions) on dental X-rays, specifically bitewing and periapical radiographs. It provides visual annotations and color-coded outputs to support the dentist’s diagnosis, aiming to improve the accuracy and efficiency of caries detection. The system acts as a concurrent read, computer-aided detection (CADe) software for patients aged 18 years or older. It is intended to supplement, not replace, a comprehensive clinical evaluation and the dentist’s professional judgment. BDCA integrates seamlessly into existing dental practice management systems via APIs and operates as a cloud-based platform, delivering rapid diagnostic insights typically within 2-3 seconds.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Automated detection and localization of carious lesions on dental X-rays
  • Color-coded visual annotations on 2D radiographs
  • Rapid diagnostic results (2-3 seconds)
  • API for integration with Dental Practice Management Systems
  • Cloud-based platform for accessibility
  • High accuracy and reliability in caries detection
  • Patient education and communication tools
  • Supports diagnosis of interproximal caries, bone density loss, periapical lesions, pulpal involvement, periodontal disease, impacted teeth, overhanging fillings/restorations, and open margins (platform capabilities, BDCA specifically for caries)

Use Cases

  • Caries detection and localization on bitewing and periapical radiographs
  • Enhancing patient education and communication through visual aids
  • Providing a quick second opinion for dentists
  • Improving diagnostic accuracy and efficiency in dental practices
  • Streamlining the diagnostic workflow for dental professionals

What Physicians Need to Know

Dental X-Ray Analysis
BDCA Version 1.0 is a computer-aided detection (CADe) software designed for automated detection of carious lesions in bitewing and periapical dental radiographs. It provides color-coded outputs on 2D radiographs for a quick second opinion and patient education. The system uses deep-learning models to analyze images in seconds, highlighting issues such as interproximal caries, bone density loss, periapical lesions, pulpal involvement, periodontal disease, impacted teeth, overhanging fillings or restorations, and open margins.
Caries Detection Accuracy
BDCA v1.0 demonstrated robust performance in detecting caries lesions, achieving a sensitivity of 89.2% and a specificity of 99.5% at the bitewing surface level. It significantly improves cavity detection capability without compromising specificity. The AI models assist clinicians in identifying early-stage carious lesions more accurately, leading to better treatment planning and reducing diagnostic errors.
Periodontal Assessment
The tool can detect bone density loss and periodontal disease on X-rays. Better Diagnostics AI also offers an optional, hands-free voice-activated Perio Charting module that records pocket depths, bleeding points, recession, and mobility in real-time, with automated progress tracking for improved diagnosis and treatment planning.
Treatment Planning AI
BDCA supports more accurate diagnosis, which in turn leads to better treatment planning. It can aid in assessing individual caries risk, facilitating personalized preventive strategies and interventions. It's important to note that BDCA v1.0 serves as an adjunct tool and does not make treatment recommendations or provide a final diagnosis, but rather enhances the clinician's decision-making process.
Dental Imaging Integration (CBCT/Panoramic)
BDCA Version 1.0 is specifically designed for the analysis of bitewing and periapical dental radiographs for caries detection. The broader Better Diagnostics AI platform provides color-coded outputs on 2D radiographs.
Practice Management Integration
The tool offers integration with existing Dental Practice Management Systems (PMS) via APIs. It is natively integrated with the Open Dental Imaging Module and is compatible with various PMS, including Dentrix, Eaglesoft, Curve Dental, Carestream Dental, and others.
Patient Communication Tools
BDCA utilizes color-coded outputs and visual annotations on radiographs to help patients clearly understand findings. This visual aid fosters trust and can significantly improve a patient's willingness to proceed with recommended treatments by making the diagnosis more concrete and personalized.
Insurance Pre-Authorization
The use of AI in dental radiology and X-ray analysis, including BDCA, can help improve insurance claims reimbursement. Better Diagnostics AI also offers a 'Voice Notes' module that can be utilized for voice-based insurance documentation, streamlining administrative tasks.
Orthodontic Planning
Orthodontic planning is not a primary feature of the Better Diagnostics Caries Assist (BDCA) tool, as its main focus is on the detection of carious lesions in bitewing and periapical radiographs.
Physician Tip

BDCA is an FDA-cleared computer-aided detection (CADe) software designed to augment your diagnostic capabilities for caries. Remember, it's an adjunct tool, not a replacement for your comprehensive clinical evaluation and judgment. Leverage its high accuracy for early lesion detection and utilize the visual outputs to enhance patient education and communication, which can lead to improved treatment acceptance. Integrate it seamlessly into your workflow to streamline X-ray analysis and focus more on patient care.

Better Diagnostics Caries Assist (BDCA) offers robust integration capabilities with various dental practice management systems (PMS) through APIs. It is natively integrated with Open Dental Imaging Module and supports a wide range of popular PMS platforms, ensuring a smooth workflow within your existing digital infrastructure.

Details

Category Dental AI
Pricing Contact vendor for pricing
DeploymentCloud-based
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

Better Diagnostics Caries Assist (BDCA) Version 1.0 received FDA clearance (K241725) on March 11, 2025. It is classified as a radiological, automated, concurrent read, CADe software intended to identify and localize carious lesions on bitewings and periapical radiographs for patients aged 18 years or older, for use by board-licensed dentists.

Integrations
EHR Not specified
Specialties Dentistry

What the Web Says

Better Diagnostics Caries Assist (BDCA) Version 1.0 is an FDA-cleared computer-aided detection (CADe) software designed to assist dentists in identifying carious lesions on bitewing and periapical dental radiographs for patients aged 18 and older. It provides supplementary information to clinicians but is not intended to replace a comprehensive clinical evaluation or the dentist's final diagnosis. The software has demonstrated high sensitivity and specificity in detecting caries at the surface level.

Overall: Positive

Strengths

  • FDA-cleared Class II medical device, indicating a moderate-risk diagnostic role.
  • High sensitivity (89.2%) and specificity (99.5%) for caries detection at the surface level.
  • Assists clinicians by localizing caries via bounding boxes on radiographs.
  • Intended for use with permanent teeth in patients 18 years or older.
  • Ground truth for performance testing was established by a consensus of experienced, licensed dentists.
  • Can be used with various x-ray sensor types.

Limitations

  • Not intended to replace a comprehensive clinical evaluation or a dentist's final diagnosis.
  • Does not make treatment recommendations or provide a diagnosis.
  • Only intended for patients aged 18 years or older, unlike some competitors that cover pediatric patients.
  • Does not detect conditions other than caries.
  • Lacks independent clinical validation in peer-reviewed publications, unlike some other platforms.
  • Uses bounding boxes for localization, whereas some competitors offer pixel-level segmentation for more detailed outlining.

Based on reviews from: FDA-Approved AI Solutions in Dental Imaging: A Narrative Review of Applications, Evidence, and Outlook - PMC, CT/CTA workflow radiology AI tools | Buyer shortlist, K250264 - 510(k) Commentary - Innolitics, How to Plan MRMC and Standalone Studies for a 3-Month 510(k) - Innolitics, Definitive Guide to AI/ML SaMD Ground Truthing - Innolitics, Search FDA-cleared listings - Radiology AI Tools Directory, March 11, 2025 Better Diagnostics AI Corp Rajeev Nohria CEO 29 Alcott Way AVON, CT 06001 Re: K241725 Trade/Device Name: Be - accessdata.fda.gov

Last updated: 2026-07-17

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Press & Coverage

accessdata.fda.gov
Better Diagnostics Caries Assist (BDCA) Version 1.0 - 510(k) Premarket Notification
The FDA issued a 510(k) premarket notification for Better Diagnostics Caries Assist (BDCA) Version 1.0 on March 11, 2025, classifying it as a Class II medical image analyzer. This computer-aided detection software is designed to assist licensed dentists in identifying carious lesions on bitewing and periapical dental radiographs in patients aged 18 or older.
2025-03
FDA
Establishment Registration & Device Listing - Better Diagnostics Caries Assist (BDCA) Version 1.0
Better Diagnostics Caries Assist (BDCA) Version 1.0 is listed with the FDA under product code MYN (Medical Image Analyzer) and regulation number 892.2070, indicating its classification as a Class 2 radiology device. The establishment registration for Better Diagnostics AI Corp is 3038172231, and the premarket submission number is K241725.
2026-06
PMC (PubMed Central)
FDA-Approved AI Solutions in Dental Imaging: A Narrative Review of Applications, Evidence, and Outlook - PMC
A December 2025 narrative review highlights Better Diagnostics Caries Assist (BDCA) Version 1.0 as an FDA-cleared AI platform for caries detection in permanent teeth of patients aged 18 and above, utilizing bitewing and periapical radiographs. The review emphasizes the growing role of standalone, FDA-cleared AI platforms in dental imaging for diagnosis, treatment planning, and monitoring.
2025-12
FDA.report
Analyzer, Medical Image MYN - FDA.report
Better Diagnostics Caries Assist (BDCA) Version 1.0, developed by Better Diagnostics AI Corp, received its 510(k) clearance on March 11, 2025, under the product code MYN for medical image analyzers. This report lists various related 510(k) records and devices, indicating the competitive landscape of AI in dental diagnostics.
2025-03
FDA
TPLC - Total Product Life Cycle - FDA
The FDA's Total Product Life Cycle database includes K241725 for Better Diagnostics Caries Assist (BDCA) Version 1.0, indicating its substantial equivalence to other medical image analyzers. This entry provides an overview of the regulatory status and related devices in the medical image analyzer category.
2026-06
Innolitics
How to Plan MRMC and Standalone Studies for a 3-Month 510(k) - Innolitics
Better Diagnostics Caries Assist (BDCA) Version 1.0 is cited in an article discussing clinical validation strategies for AI/ML-enabled medical devices, specifically mentioning its use of 328 images for standalone studies. The article highlights the importance of both Multi-Reader Multi-Case (MRMC) and standalone studies for regulatory submissions.
2025-09
Innolitics
Definitive Guide to AI/ML SaMD Ground Truthing - Innolitics
An article on AI/ML SaMD ground truthing references Better Diagnostics Caries Assist (BDCA) Version 1.0, noting that its ground truth was determined by a consensus of two out of three experienced, licensed dentists. This highlights the methodology used for validating the accuracy of the AI software in detecting carious lesions.
2025-09
Innolitics
K250264 - 510(k) Commentary - Innolitics
Better Diagnostics Caries Assist (BDCA) Version 1.0 is listed as a predicate device in a 510(k) commentary, indicating its role in the regulatory landscape for similar AI-powered dental diagnostic tools. The article discusses the clinical study involving 300 de-identified bitewing radiographs to demonstrate improvement in lesion delineation.
unknown

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Frequently Asked Questions

BDCA Version is designed for seamless integration with most major dental imaging and practice management systems, often running automatically as X-rays are captured. This eliminates the need for extra steps, portals, or uploads, streamlining your diagnostic workflow. Training typically involves familiarization with the AI's visual overlays and interpretation, which is generally quick due to intuitive interfaces and the AI's role as a supportive tool rather than a replacement for clinical judgment.
For any dental AI tool, FDA clearance (specifically 510(k) clearance) is crucial, indicating that the device is substantially equivalent to another legally marketed device for its intended use. Many dental AI platforms for caries detection have received FDA clearance, demonstrating they meet regulatory standards for safety and effectiveness. Physicians should always verify the specific FDA clearance status of any AI tool they consider.
Dental AI systems for caries detection generally report high accuracy, with sensitivity rates often between 85% and 98% and specificity rates up to 98% in clinical studies, often outperforming traditional assessments in identifying early-stage caries. However, limitations can include variability in performance based on image quality, patient movement, and the diversity of training datasets. While effective for many cases, complex situations or very subtle lesions may still require careful human oversight.
BDCA Version, like other advanced AI tools, aims to enhance diagnostic accuracy and consistency by identifying subtle signs of demineralization that might be missed by traditional visual or radiographic interpretation alone. Compared to other AI tools, its differentiation would lie in specific features, integration capabilities, and validated performance metrics. AI tools generally reduce diagnostic errors and support earlier intervention, leading to less invasive treatments.
Pricing models for dental AI software typically include subscription-based (monthly or annual fees), per-use pricing, or even value-based models tied to outcomes. Costs can vary significantly based on practice size, patient volume, and included features. Practices implementing AI-powered diagnostic tools have reported increased diagnostic accuracy, time savings in workflows, and improved patient acceptance rates, contributing to a positive return on investment.
Any reputable dental AI software, including BDCA Version, must be designed with robust data privacy and security measures to ensure HIPAA compliance. This typically involves using encryption for all data storage and transmission, offering role-based access, and having clear policies on data ownership and usage rights. It's crucial to ensure the AI vendor signs a Business Associate Agreement (BAA) and has stringent protocols to protect Protected Health Information (PHI).

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Suggest an Edit → | Last Verified: 2026-04-17 | First Added: 2026-04-17
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