AI in healthcare is advancing fast — but adoption still runs headfirst into one immovable reality: patient privacy. Today, Fetch.ai and Secret Network are teaming up to prove that advanced diagnostics and strict data protection don’t have to conflict. — The two projects — Fetch.ai, a leading decentralized AI ecosystem, and Secret Network, the chain built for privacy-preserving compute — have launched a privacy-first diagnostic model designed to help hospitals detect breast cancer more accurately, without compromising sensitive medical data. Their first target: mammograms, a critical imaging tool used more than 200 million times a year worldwide. Research shows AI paired with radiologists can improve diagnostic accuracy by 20–30%, but hospitals have been hesitant to adopt AI tools due to privacy laws, compliance burdens, and trust gaps. Private AI for Real-World Hospitals The collaboration blends Fetch.ai’s Agentverse — a decentralized network for AI agent deployment — with Secret Network’s confidential compute technology. The outcome: AI that can analyze medical scans inside encrypted environments, meaning patient data never leaves secure infrastructure and never needs to be exposed to third-party models. Doctors receive structured insights, while hospitals and insurers can selectively disclose only the data necessary for each stakeholder — a key feature in highly regulated environments like healthcare. “AI can save lives at global scale — but only if privacy and trust are native. By combining Agentverse with Secret Network’s confidential computing, we’re laying the path for AI systems that collaborate safely across institutions and help deliver life-changing medicine.” Humayun Sheikh, CEO of Fetch.ai Why It Matters Regulators are tightening the screws — from HIPAA and GDPR to the EU AI Act — and healthcare systems are under mounting pressure to boost accuracy, streamline operations, and protect sensitive data. This system acts as a secure digital assistant for clinicians, flagging abnormalities and assisting radiologists without replacing human judgment. In the future, autonomous agents could coordinate across imaging centers, insurers, and hospital networks, with every computation auditable and verifiable. As Breast Cancer Awareness Month concludes, the launch lands at a symbolic moment — demonstrating how decentralized AI agents and encrypted compute can support early detection, clinician workflows, and patient trust all at once. A Foundation for Confidential AI in Medicine While today’s focus is mammography, the infrastructure built here has much broader implications: - More secure AI across medical imaging - Cross-hospital intelligence without data exposure - Verifiable, auditable clinical insights - AI systems that assist — not replace — doctors This isn't just a tech integration — it's a blueprint for responsible medical AI. “This shows how AI can work with doctors, not against them,” the teams shared. “Privacy and intelligence should coexist — and now they can.” Inside Fetch.ai Fetch.ai is building the agentic economy — enabling autonomous AI agents for consumers, businesses, and developers. As a core contributor to the ASI Alliance, Fetch.ai is driving open, decentralized superintelligence infrastructure across industries including finance, mobility, and now healthcare.