There is no doubt that artificial intelligence (AI) is becoming an integral part of our everyday life. During the COVID-19 pandemic, AI has been extremely crucial in tackling not only the healthcare consequences of the disease but also other important implications which affect social, economic and policy making decisions. In this talk, Dr. Mohammad Yaqub will present some innovative AI solutions which helped fight the pandemic on different scales. Yaqub will discuss how and where AI helps to:
Finally, Yaqub will touch on issues which emerge with using AI in fighting the pandemic such as privacy, the need for big data, generalisability of solutions, data noise, and human acceptance.
Prior to joining MBZUAI, Dr. Mohammad Yaqub spent 12 years in Oxford, UK. He received his DPhil (Ph.D.) in Biomedical Engineering from the University of Oxford in 2011. During his Ph.D., he was supervised by Professor Alison Noble, Dr. Kassim Javaid and Professor Cyrus Cooper. He worked on developing machine learning solutions to real-world medical problems. After his Ph.D., he was a research fellow (2011 - 2016) at the Institute of Biomedical Engineering, University of Oxford and a lecturer (2010 - 2020) in the IT Services, University of Oxford. He worked on several problems including fetal brain structure detection and segmentation in 2-D and 3-D ultrasound, fusion of 4-D echocardiographic images, automatic categorization and quality checking of images from routine fetal anomaly scans.