AI in MedTech: Why the Payer Question Matters More Than the Algorithm
AI has transformed consumer applications at speed, but in healthcare the pace is deliberately slower—and for good reason. The barriers are structural: clinical evidence requirements, multi-stakeholder decision chains, regulatory approval in every target market, and fragmented reimbursement systems that vary dramatically by country. Understanding these dynamics explains why IBM Watson failed, why many well-funded AI health companies still lack a scalable revenue model, and what Chinese MedTech companies must think through before committing to an AI-led international expansion.