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Trustworthy AI for healthcare applications: the path from research to clinics

Imaging is a cornerstone of many medical specialties, such as Radiology, Pathology and Ophthalmology. Humans assessing the images are becoming the bottleneck, as they have to read an ever growing number of more extensive imaging studies. Computers can potentially extract more information from images, more reliably, and more accurately. AI and, particularly deep learning, has so far brought substantial improvements to the analysis of medical images. In this talk I will present how deep learning is transforming healthcare, from detection and diagnosis to treatment monitoring. I will further discuss the challenges that we are currently facing and the need of new approaches to accomplish clinically meaningful solutions that can be integrated in clinical practice.

Clarisa Sánchez Gutiérrez

is full Professor in AI and Health at Faculty of Science (Informatics Institute) and the University Medical Center Amsterdam (Departments of Biomedical Engineering and Physics), both within the University of Amsterdam. Together with Prof. Ivana Išgum, she leads the Quantitative Healthcare Analysis (qurAI) group, an interfaculty group focused on the development, validation and clinical integration of socially responsible AI solutions in healthcare.

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Clarisa Sánchez Gutiérrez

Informatics Institute, University of Amsterdam

Monday, 29 November 2021, 2:00-3:30 PM (CET)

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