ProfessorBernhard Kainz

Human-in-the-loop computing research aims at complementing human intelligence with machine capabilities and machine intelligence with human flexibility.

I co-create intensively with Imperial College Healthcare NHS Trust, King's College London, Division of Imaging Sciences and Biomedical Engineering, St. Thomas Hospital London and the department of Bioengineering at Imperial. I am Associate Editor for IEEE Transactions on Medical Imaging,  Medical Image Analysis, and Machine Learning for Biomedical Imaging. I am a scientific adviser for ThinkSono Ltd and Ultromics Ldt. and co-founder of Fraiya Ltd. 

My research is about intelligent algorithms in healthcare, especially Medical Imaging. I am working on self-driving medical image acquisition that can guide human operators in real-time during diagnostics. Artificial Intelligence is currently used as a blanket term to describe research in these areas.

Current research questions:

• Can we democratise rare healthcare expertise through Machine Learning, providing guidance in real-time applications and second reader expertise in retrospective analysis?
• Can we develop normative learning from large populations, integrating imaging, patient records and omics, leading to data analysis that mimics human decision making?
• Can we provide human interpretability of machine decision making to support the ‘right for explanation’ in healthcare?