Post by SUPERWISE®

The truth about AI in healthcare that nobody talks about: It doesn't fail dramatically. It fails quietly. A model drifts. Data quality slips. An edge case gets missed. Nobody notices… until a patient is affected. Over 1,000 AI medical devices have FDA clearance. But here's what happens after approval that most people don't see—and why post-market monitoring is where the real work begins. This piece covers: → Why FDA clearance is just the starting line, not the finish → The hidden challenges: data drift, performance decay, real-world variability → What continuous monitoring actually looks like in practice If you're building, implementing, or evaluating AI medical devices, this is worth 10 minutes 👇 https://lnkd.in/gpuyKJBd What's the biggest gap you've seen between lab performance and real-world deployment? Would love to hear your experience. #HealthcareAI #MedicalDevices #FDARegulation #HealthcareLeadership #AIGovernance #DigitalHealth #HealthIT #CMIO #CDO #HealthcareInnovation #RegulatoryCompliance #PatientSafety #AIinHealthcare #HealthTech #MedicalDeviceRegulation