From Risky to Trustworthy AI in Healthcare
Dr Karim Lekadir will talk about the promises and challenges of Artificial Intelligence (AI) in medical imaging analysis. Amid hope and hype, AI is regarded as one of the most promising and disruptive technologies for future healthcare. The application of medical AI has the potential to increase the productivity and efficiency of clinicians, improve medical diagnosis and treatment, optimise the allocation of human and technical resources, and lead to better health outcomes for patients and citizens. However, there are currently several technical, clinical, ethical and legal risks associated with medical AI that have limited its deployment in the real world.
Computing Technologies for Healthcare - School of Computing Science
Date: Wednesday 16 February 2022
Time: 15:00 - 16:00
Venue: Zoom online
Category: Public lectures, Academic events, Courses
Speaker: Dr. Karim Lekadir
Abstract: Amid hope and hype, artificial intelligence (AI) is widely regarded as one of the most promising and disruptive technologies for future healthcare. The application of medical AI has the potential to increase the productivity and efficiency of clinicians, improve medical diagnosis and treatment, optimise the allocation of human and technical resources, and lead to better health outcomes for patients and citizens. However, there are currently several technical, clinical, ethical and legal risks associated with medical AI that have limited its deployment in the real world. This talk will discuss these risks, including the potential lack of clinical safety, the limited generalisability of the AI solutions across settings, and important ethical issues such as algorithmic bias against under-represented groups. I will also discuss the need for guidelines and best practices to support the design, development and deployment of future AI tools in healthcare that are accurate and robust, but also trustworthy and ethical, to maximise their acceptance and adoption by medical professionals and patients alike.
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Biography: Dr. Karim Lekadir is a Ramon y Cajal Researcher and Director of the Artificial Intelligence in Medicine Lab at the Universitat de Barcelona (BCN-AIM). He holds a PhD from Imperial College London (UK) and was previously a visiting scholar at Stanford University (USA). His current research focuses on the development of data science and machine learning approaches for the analysis of large-scale biomedical data, including imaging, clinical, lifestyle, and mobile data. The software he developed during his PhD for cardiac functional quantification has been CE marked and commercialised by CMRtools, and is now used in more than 250 clinical centres worldwide. He is the Coordinator of the following Horizon 2020 projects: euCanSHare (2018-2022), developing a big data platform for cardiovascular research; EarlyCause (2019-2023), which investigates multi-morbidity using experimental and data science approaches; and EuCanImage (2020-2024), which is building a federated artificial intelligence environment for cancer imaging. He is also work package leader in the longITools H2020 project (2019-2024), developing a mobile app for cardio-metabolic risk prediction based on exposome data. In addition, Karim is General Chair for the MICCAI 2024 Conference (Medical Image Computing and Computer-Assited Intervention) which for the first time will take place in Africa – in Marrakesh, Morocco. He is an Associate Editor of IEEE Transactions on Medical Imaging.
www.ub.edu/dept_matinfo/professors/lekadir-karim/