At VHT.ai, responsible AI in healthcare means going beyond accuracy — it means safety, ethics, and trust by design.

We’re excited to collaborate with Professor Qurat Azim and students at Northeastern University on a capstone project focused on strengthening the AI safety framework behind ECHNA, our healthcare AI system.

The project explores layered safeguards such as:
• Reward model scoring for response safety
• Verification against established medical literature
• Clinical AI models to assess medical appropriateness
• Extra testing for high-risk outputs

By applying checks and balances before guidance reaches patients or providers, this work helps ensure ECHNA aligns with medical best practices, patient safety, and AI ethics.

Proud to partner with future leaders shaping responsible healthcare AI. 🚀