AI-assisted radiograph review
Second Opinion analyzes dental X-rays for potential pathologies, while Second Opinion 3D supports CBCT review. Pearl describes its radiologic AI as supporting 2D and 3D diagnostic workflows.
Dental AI software for diagnosis, insurance workflows, clinical training, and practice operations.
Pearl is a dental AI software platform for dental practices, dental service organizations (DSOs), and universities. Its tools span radiograph analysis, practice insights, insurance revenue-cycle workflows, diagnostic calibration, and voice-based clinical documentation. Pearl says its radiologic AI supports 2D X-ray and 3D CBCT diagnostic workflows and is FDA-cleared for that use. The platform is designed to help teams interpret imaging, explain findings, prepare insurance claims, and standardize clinical work across providers.
Second Opinion analyzes dental X-rays for potential pathologies, while Second Opinion 3D supports CBCT review. Pearl describes its radiologic AI as supporting 2D and 3D diagnostic workflows.
Pearl RCM brings eligibility and benefit information, claim status, and follow-up into one workflow. It can flag documentation gaps, identify image-quality issues, and help prepare claims with relevant images and payer-specific narratives.
Practice Intelligence turns practice data into insights intended to guide growth and care decisions.
Calibrate lets organizations set radiologic criteria, assess clinicians using timed cases, and identify areas for targeted coaching. Teams can use an anonymized image library or integrate their own imagery.
Pearl Voice captures patient conversations and organizes relevant information into structured clinical notes, including SOAP notes, and perio charts.
Clinicians can use AI-annotated radiologic findings as visual support when explaining diagnoses and treatment options to patients.
Front-office and clinical teams can review coverage details and documentation needs before or during visits, then use image checks and claim preparation support to address gaps before submission.
DSO leaders can establish shared diagnostic criteria, review performance across locations, and use assessment results to direct clinician coaching.
Dental schools can use image-based assessments and performance analytics to give students feedback and identify where further support is needed.
Dental teams can record natural patient conversations during appointments and use the generated structured notes and perio charts to reduce manual charting.
Pearl says its radiologic AI supports 2D X-rays and 3D CBCT imagery. Second Opinion is listed for X-rays, and Second Opinion 3D for CBCT review.
Pearl RCM supports insurance eligibility and benefit checks, claim-status tracking, documentation and image-quality checks, and claim preparation.
Yes. Calibrate allows organizations to define radiologic criteria and use their own imagery, alongside its anonymized image library.
Pearl Voice turns recorded patient conversations into organized clinical documentation, including structured notes and perio charts.
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