Stream 3, Session 2: Transparency and bias
Time |
Session details |
11:45 |
Welcome address |
11:50 |
STANDING together |
12:10 |
AI for children's imaging |
12:30 |
Creating and using synthetic medical data using generative artificial intelligence Artificial intelligence (AI) has been heralded as one of the leading digital innovations to affect the healthcare industry in the 21st century. Much of this attention has focussed on deductive machine learning systems. Generative AI, including generative adversarial networks (GANs), has only recently gained significant academic, commercial and investor attention. In healthcare, artificially generated patient data has the potential to revolutionise clinical research and protect patient privacy. Using novel techniques, it is increasingly possible to anonymise and augment datasets. This can be used to expand and balance datasets as well as to replace the use of real patient data in certain contexts. This presentation focusses upon the key uses of synthetic medical data: clinical research, data privacy, clinical trials and medical education. It emphasises ethical, legal and practical concerns that require consideration in order for synthetic data to be implemented safely, to the benefit of industry and the population. |
12:50 |
Panel discussion chaired by Professor Alastair Denniston, featuring: Dr Xiaouxuan Liu, Professor Susan Shelmerdine and Dr Anmol Arora. |
13:10 |
Closing remarks |
13:15 |
Session ends |
Programme subject to change
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