Vision AI in Healthcare: What’s Real and What’s Not

Vision AI — from diagnostic imaging to surgical assistance — is transforming healthcare, but the hype can blur reality. What’s real: FDA-approved tools for radiology support, AI that flags diabetic retinopathy, and workflow automation in pathology. What’s not (yet): fully autonomous diagnoses or error-proof models. Success depends on clinically validated datasets, regulatory compliance, and physician trust. Vision AI isn’t a silver bullet, but when paired with human expertise, it’s proving to be a powerful force in improving accuracy, speed, and outcomes in patient care.