![© Indu Ilanchezian, Hertie AI Indu Ilanchezian](/fileadmin/_processed_/4/d/csm_Indu_Ilanchezian_a3dcce29a3.jpg)
To harness the power of AI in real world clinical situations, an explanation of their decisions is of utmost importance.
Indu Ilanchezian
![© Indu Ilanchezian, Hertie AI Indu Ilanchezian](/fileadmin/_processed_/4/d/csm_Indu_Ilanchezian_c119e2e8a1.jpg)
Indu Ilanchezian is a Ph.D. student in the Department of Data Science at the Hertie Institute for AI in Brain Health at the University of Tübingen and an IMPRS-IS scholar. Her research objective is to develop interpretable deep learning models for clinical diagnostic applications in ophthalmology. Her research is particularly focused on inherently interpretable models and visual counterfactual explanations. Besides interpretability, she is interested in generative models, diffusion models and adversarially robust models.
To harness the power of AI in real world clinical situations, an explanation of their decisions is of utmost importance.