Medical AI projects routinely deal with scanned documents and images that contain sensitive patient information. Extracting insights from these visuals is crucial – but so is protecting patient privacy. Traditionally,...
How is AI improving hospital capacity forecasting? Hospital systems face constant pressure to balance patient demand with finite resources. AI-driven capacity forecasting provides hospitals with the predictive intelligence needed to...
TL;DR Summary As AI becomes embedded in clinical workflows, hospitals must transition from "trust by default" to a Zero Trust AI (ZTAI) architecture. This approach treats AI models and their...
Why bigger isn’t always better: The paradigm shift in AI model development For years, the benchmark of AI innovation was model size, parameter counts defined power. But in healthcare, this...
As generative AI continues to make waves in healthcare, it is becoming clear that LLMs alone are not enough for safe, scalable automation. The most successful real-world systems combine the...
Demos
See More