A transparent collection of workflow problems, prototype approaches, current evidence boundaries, and future validation plans. Illustrative studies are not claims of measured clinical or operational outcomes.
Each case study shows the clinical problem, workflow challenge, OraDigit solution, product connection, and future development path.
A bounded design study of how structured context may help reviewers identify incomplete PET/CT order information. No denial-reduction outcome has been established.
A longitudinal PET workflow for comparing baseline and follow-up studies, tracking SUV change, response category, and future PETQuant confidence integration.
A glucose-aware PET quantification workflow that supports FDG PET/CT comparability by reviewing acquisition context, glucose level, uptake time, and SUV reliability.
A future analytics module for comparing reports, physician interpretations, response categories, and workflow variation across imaging cases.
Future case studies will document scheduling optimization, documentation improvement, clinical AI assistant workflows, and imaging operations dashboards.
This section can later host reviewed summaries, implementation notes, evaluation reports, technical briefs, screenshots, and workflow diagrams for each OraDigit product.
OraDigit case studies should grow as the platform grows. The page is designed so new product work can be added without rebuilding the structure.