IOTA Infrastructure Supports Secure AI for Healthcare with 96% Accuracy in Disease Detection
The post IOTA Infrastructure Supports Secure AI for Healthcare with 96% Accuracy in Disease Detection appeared on BitcoinEthereumNews.com.
AI models trained locally using IOTA and IPFS, updates logged immutably with zero fees, no intermediaries. Decentralized votes filter bad data, models hit 96% accuracy without exposing patient records or transfers. IOTA’s infrastructure now supports a medical AI system that prevents the transfer of sensitive patient information. The setup allows multiple organizations to train models without revealing raw data. It utilizes IOTA’s Tangle and IPFS to manage updates, eliminating the need for central authorities. Every contribution is recorded permanently and without any transaction fees. Participants train models within their own systems. When updates are ready, they post them to a shared, decentralized ledger. The wider group reviews each one through a voting process to decide if it should be accepted. This helps block low-quality or tampered updates from affecting the shared model. Each submission is logged and can be tracked, which prevents misuse while keeping private data off the table. One model built this way can identify diseases using clinical text and reached 96% accuracy without any data being shared. Another tool applied this model to label medical documents with the right diagnostic codes. A third was trained to respond to medical questions using only answers generated by LLaMA and BioGPT. Medical AI Built Without Sharing a Single Patient Record IOTA’s technology proved reliable in both technical use and in cooperative efforts that required trust. Operating without a central authority and using privacy-respecting methods, the system stays transparent. Any uploads to the Tangle are logged permanently and can be checked at any time. This allows a way to build healthcare AI tools without putting personal data at risk. These advancements mark a shift for IOTA’s role beyond payment services. By offering a system that supports sensitive uses like healthcare, the project shows its wider applicability. Sensitive data are not passed between agencies, meeting…
Filed under: News - @ July 22, 2025 1:29 pm