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IAIIPL

Research · 06

AI in Healthcare

Computational methods and AI for medical imaging, diagnosis and clinical decision support — built to be robust, interpretable and safe to deploy.

The laboratory applies its fusion and learning methods to medical imaging and clinical data: segmentation and registration, multimodal image fusion, and inference over noisy, incomplete patient measurements.

Work covers diagnostic models, decision support and trustworthy deployment — including interpretability, uncertainty quantification and privacy-preserving approaches developed with clinical collaborators.

Clinical AI and medical imaging analysis in a healthcare setting
Illustrative · National Cancer Institute
  • Medical imaging
  • Clinical decision support
  • Image fusion
  • Trustworthy AI

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