health
Prof. Karim Lekadir: Applications, risks, ethical and societal impacts of AI in healthcare
Interview with Prof. Karim Lekadir, Director of the 'Artificial Intelligence in Medicine Lab' at the Universitat de Barcelona (BCN-AIM). He co-authored a study for the European Parliament's Panel on the Future of Science and Technology (STOA) entitled 'Artificial Intelligence in healthcare: Applications, risks, ethical and societal impacts' which he will present on 11 February 2022 ...
Using technology to cope with stress-related mental health problems
Interview with Raffael Kalisch An EU-funded research project, DynaMORE, has been developing an app that helps the user to prevent, or quickly recover from stress-related mental health problems. We speak with project coordinator and professor for Human Neuroimaging Raffael Kalisch of the Johannes Gutenberg University Medical Center, Mainz. With his team, he generated and validated ...
A scientist’s opinion: Interview with Professor Hugo Aerts on AI in medical imaging
Interview with Hugo Aerts, professor of AI in medicine at Maastricht University (Netherlands). He is also director of the AI in medicine (AIM) program at Harvard University and Mass General Brigham in Boston (USA). You received a EUR 2 million European Research Council grant for the project ‘Deep Learning for Automated Quantification of Radiographic Tumor ...
A scientist’s opinion: Interview with Professor Regina Barzilay on AI in medical imaging
Interview with Regina Barzilay, distinguished professor for AI and Health at MIT (USA). She is also an AI faculty lead for Jameel Clinic, an MIT center for Machine Learning in Health. What is your view on the future of artificial intelligence in medical imaging for the next 10 years? Regina Barzilay: Many of today’s successful applications ...
Making the medical imaging pipeline smarter
An interview with Prof. Dr Daniel Rückert, Alexander von Humboldt Professor for Artificial Intelligence in Medicine and Healthcare at the Technical University of Munich (Germany). In 2020, he received a EUR 2.5 million European Research Council (ERC) grant for the five-year project ‘Deep Learning for Medical Imaging: Learning Clinically Useful Information from Images’, which runs ...
EU project : INCISIVE
A Multimodal AI-based Toolbox and an Interoperable Health Imaging Repository for the Empowerment of Imaging Analysis related to the Diagnosis, Prediction and Follow-up of Cancer INCISIVE is a 42-month project that aims at exploring the potential of novel AI tools for enhancing current imaging solutions for cancer cases. INCISIVE addresses challenges related to the detection ...
EU project : EuCanImage
Novel pan-European imaging platform for artificial intelligence advances in oncology The goal of the EU-funded EuCanImage project is to build a secure, large-scale European cancer imaging platform with capabilities that will advance the application of artificial intelligence (AI) in oncology. The platform will be populated with new data from 25 000 subjects, enabling the investigation ...
EU project : ProCAncer-I
AI models of prostate cancer diagnosis In Europe, prostate cancer (PC) is the second most frequent type of cancer in men and the third most lethal. Current clinical practices lead to overdiagnosis and overtreatment, necessitating more effective tools for discriminating between aggressive and non-aggressive disease. The EU-funded ProCAncer-I project proposes to develop advanced artificial intelligence ...
