Our research activities aim to innovate towards challenging and extending the state of the art in machine intelligence for various applications including clinical question answering, clinical paraphrasing, human-like conversational agents and automated caption generation for medical images. We are committed to advancing the role of AI in realizing desired health outcomes. We establish the footprint of Philips Healthcare as a key player in the development of AI solutions relevant for a paradigm shift in healthcare. We actively engage academic partners and the larger AI research community, and showcase cutting-edge innovations in top peer-reviewed biomedical literature, and world-renown scientific conferences, workshops and symposia.

Research Areas

Our expertise and research interests include:

People

External Activities

• Organizing the 1st edition of the Image CLEF 2018 Medical Domain Visual Question Answering (VQA-Med) challenge, Avignon, France 
• Organizing Knowledge Discovery in Healthcare Data (KDH 2018) Workshop at IJCAI-ECAI-2018, Stockholm, Sweden