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Coming soon: an AI-powered, explainable clinical decision-support platform to support physicians in breast cancer diagnosis and treatment decisions.
OncoEASE brings the critical decision points of breast cancer care — from the mammography image to the treatment roadmap — into one platform. Every recommendation comes with its rationale and source, and the final decision always stays with the physician. Intensive R&D on the platform is under way and it's coming soon; contact us for pilot and research partnerships.
The platform has two modules: DiagnoSENSE, the platform's "eyes", provides mammography analysis and early diagnosis support, while TreatMIND, its "brain", provides guideline-based treatment planning support.
Analyzes mammography images through the combined assessment of multiple CNN models.
Marks the regions the model attends to on the image, giving the physician a visual rationale.
Maps findings to ACR BI-RADS 5th Edition categories and checks consistency with a guideline-sourced explanation and critic layer.
Processes DICOM mammography images directly; PET/CT longitudinal comparison is available for research use.
Produces two reports from the same analysis: a professional one for the physician and a plain-language one for the patient.
Derives treatment options structured by care stage from clinical and pathological data.
Shows the NCCN, ESMO and ASCO guideline text verbatim; if data is missing, it asks for it instead of producing a recommendation.
Makes the diagnosis, neoadjuvant, primary, adjuvant and follow-up stages traceable in one flow.
Provides indicators such as survival risk tier, pCR likelihood, decision stability and the information value of missing data.
Exports structured data in mCODE / FHIR format, laying the groundwork for integration with hospital systems.
Fill in the form; we'll show you the product live on your own scenario and help you choose the right plan.
This product will be available for purchase very soon. Contact us for early access and launch benefits.
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