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Why General-Purpose AI Falls Short in Healthcare
Why General-Purpose AI Falls Short in Healthcare
Updated this week

General-purpose AI models are failing healthcare. Trained on everything from social media to society columns, they lack the deep contextual understanding required for high-stakes medical environments. They hallucinate, struggle with medical nuances, and fall short when real lives are on the line.

That’s why at Corti, we’ve taken a different approach. We are committed to specialized foundation models—AI built exclusively for healthcare, designed to serve patients and providers with unmatched precision and reliability.

Meet Corti’s Healthcare Foundation Models

Corti’s models are purpose-built for real-world medical applications, delivering tangible impact where it matters most:

Higher accuracy in clinical findings, surpassing traditional models
Faster processing, enabling real-time decision-making
Best-in-class medical speech recognition, even in complex, noisy environments
Significantly fewer hallucinations, ensuring trust and safety in critical healthcare settings

Unlike generic AI, our foundation models are trained on clinical-grade datasets, making them:
Multi-modal, capable of understanding speech, text, and medical data together
Context-aware, designed to grasp the intricacies of medical conversations
Regulatory-aligned, with a focus on safety, privacy, and real-world clinical validation

Instead of just analyzing words, our models understand meaning, intent, and context, enabling healthcare providers to make better, faster, and more reliable decisions.

🎥 Watch the video below to see how our foundation models are transforming healthcare.

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