Advancing brain tumor research with privacy-first AI
The intersection of medicine and AI has led to remarkable innovations. However, developers now face the thorny challenge of building robust medical AI tools that have been tested and evaluated on diverse, real-world patient data while also protecting patient privacy. At Google Cloud, our approach combines strategic collaboration with Confidential Computing. To help protect both patient privacy and AI models during validation, we’re collaborating with MLCommons t hrough the MedPerf initiative. First announced at Google Cloud Next earlier this year, this partnership uses Confidential Computing to establish a secure clean room for benchmarking AI models in real-world settings. The challenge: [...]