There is not enough talent to review the volume and velocity of medical literature that must be analyzed. Empowering existing talent is the best goal.
Post-Market Clinical Follow-up
Data bottlenecks need to be removed and processes need to be optimized to make reporting on clinical performance more effective and efficent.
Post-Market Surveillance
Pro-active and systematic data must be collected for conclusions about preventative and corrective actions. Some products have far too much data to review, some far too little.
Watch this 1-minute video to more about the benefits of Huma.AI's validated Machine Learning solution for meeting the post-market challenges of EU MDR and IVDR.
Your Machine Learning Technology Partner for Driving Life Science Innovation.
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