From AI Prototype to Deployable MedTech Product

The distance between a working AI prototype and a clinically deployable product is where most healthcare startups quietly die. Regulated environments, real clinical workflows, privacy and safety constraints, and the gap between technical capability and actual adoption, none of these show up in the demo. Drawing on experience building AI-powered communication technology for people with speech impairments, this session is an execution-focused look at what founders, engineers, and healthcare innovators need to understand to ship MedTech that clinicians actually use.