Medviso built cardiac MR/CT analysis software in MATLAB that won FDA 510(k) clearance and CE marking.
Medviso needed image analysis software that could be cleared by the FDA and CE marked while limiting submission workload. It built Segment CMR in MATLAB with Image Processing Toolbox and automated documentation and regression testing. The page reports 3-4x faster development than C/C++, 50% less FDA submission work, and use by 300+ research groups.
MathWorks makes MATLAB and Simulink, used by pharma and medical device teams for modelling, machine learning and regulated device software development
This sits in the Ship stage of the AI use-case lifecycle: Named examples from the vendors pharma teams use to get an AI system live inside a real, regulated production workflow — validation, CRM, safety and clinical systems of record.
Published by MathWorks on its own site — read the original case study on mathworks.com ↗
Related use cases
- 01Genentech built a MATLAB supervisory control platform for microbial fermentations that cut algorithm rework from six months to two weeks.
- 02MedImmune automated flow cytometry analysis in MATLAB, cutting turnaround from weeks to minutes.
- 03Pfizer applies systems pharmacology modelling in MATLAB and SimBiology to reduce phase II attrition.
- 04Lund University trained neural networks in MATLAB to match heart donors and recipients.
- 05Battelle decoded brain signals with MATLAB machine learning to restore hand movement in a paralysed patient.
- 06Preceyes developed the control system of an eye-surgery robot with MATLAB and Simulink model-based design.