Heads On were honoured to work with BSMS to host an AI and machine learning in health services symposium yesterday.
The symposium welcomed more than 75 guests to the Medical Teaching Building at the University of Sussex for a range of talks on how artificial intelligence and machine learning is being adopted in healthcare and what the challenges are going forward.
Dr Claire Woolcock, Medical Director for Transformation at Sussex Partnership NHS Foundation Trust, opened the session and said: “Transforming the way we transform is a big part of the strategy for the next five years at Sussex Partnership.” Dr Woolcock also explored what benefits AI might bring to NHS Trusts which work collaboratively.
The keynote speaker was Goran Nenadic, Professor of Computer Science at the University of Manchester. Prof Nenadic gave a lively and engaging presentation on the current challenges for the NHS and potential risks for using AI, as well as the benefits. He said: “Models learn from the data they’ve been exposed to. If models are exposed to this data, they will learn from that. This creates an issue in terms of a privacy-accuracy trade off when thinking about patient data and healthcare. If we’re going to use models, we need to trust them.”
Dr Elizabeth Ford, Reader in Health Data Science at BSMS, gave a presentation in the afternoon session on the ethical issues around using AI in mental healthcare, examining the example of early detection of dementia. This was followed by two parallel sessions in the Garrett-Anderson rooms and Chowen Lecture Theatre.
Heads On are pleased to announce the success of its symposium to encourage this important, ongoing discussion among our healthcare professionals. Exploring how AI and machine learning can support decision-making and its contribution to financial savings in healthcare, while ensuring that all data privacy requirements are met.