AIM Lab

The AIM Lab (AI for Medical Imaging) is a collaborative initiative of the Inception Institute of Artificial Intelligence from the United Arab Emirates and the University of Amsterdam. Together we will focus on using artificial intelligence for medical image recognition.
 
Medical practice requires more and more interpretation of digital images. Human experts are expensive, error prone and get tired. Recent developments in image recognition, in particular through ‘deep learning’, have shown that computers can extract more information from images and are sometimes more reliable than people due to their increased accuracy. However, image recognition has mainly focused on natural images such as those on Instagram and YouTube. Adapting and further developing image recognition to the characteristics of medical images is an important challenge for the AIM Lab. Over the next five years, seven PhD researchers will work in the lab on projects that will focus, among other things, on achieving a quicker diagnosis of Alzheimer’s disease, modelling cardiac rhythms and on generating automatic reports based on X-ray imagesFrom a technical perspective, work will be done on fundamental and relatively general AI models and algorithms that can be applied to specific diseases.

About IIAI

The Inception Institute of Artificial Intelligence Ltd. (IIAI) drives excellence and leadership of AI research in the UAE and the wider world with the aim of promoting economic growth, fostering innovation and improving healthcare and people’s lives. IIAI collaborates with leading hospitals in the UAE on applying cutting-edge machine learning and computer vision techniques to revolutionize the healthcare industry through medical image computation and analysis. IIAI attracts exceptionally talented and highly motivated researchers and engineers from around the world in the areas of computer vision, machine learning and medical imaging to work across disciplines on both fundamental and applied research.

Scientific Directors

Cees Snoek
Marcel Worring
Ling Shao

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