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Recent research has highlighted biased performance in healthcare AI systems, which can harm certain patient groups, particularly minoritized communities. These biases may result in Black patients being unjustly denied healthcare resources or less accurate diagnoses for underserved groups. Learn more: STANDING Together project, which aims to set standards to encourage generalisability and transparency of healthcare datasets.
Using Artificial Intelligence (AI) Responsibly
Using Artificial Intelligence (AI) Responsibly
HDR UK Midlands & NIHR supported Incubator for AI and Digital Healthcare
HDR UK Midlands & NIHR supported Incubator for AI and Digital Healthcare
8th of October 2024
Presented by: Dr Lucia De Santis, Lucy Gregory, Professor Carl Macrae, Dr Joe Alderman, Professor Alastair Denniston, Rebecca Boffa, Martin Nwosu and Russel Pearson, Gemma Warren, and Moritz Flockenhaus,
Highlights include:
Talks and discussions with the AI and digital regulations service (collaboration between
NICE, MHRA, HRA & CQC)
Evaluating an AI model for your population
Insights from an NHSE commissioned review of AI
Locally tailored economic evaluation of clinical AI
Safety monitoring in automated systems
Recording, presentation slides and agenda are available here: Using Artificial Intelligence (AI) Responsibly 8th Oct 2024 – HDR UK Midlands
From data subjects to design partners: exploring participatory principles in health AI research.
27th March 2024
A collaborative event with Data Science for Health Equity (DSxHE) as part of the Alan Turing Institute's AI UK fringe.
This interactive online session brought together researchers from the STANDING Together project and a few special guests for a free-flowing discussion delving into the intricacies of participatory practices in healthcare AI research. What works? What doesn’t? And when research budgets are tight and time is limited, why should this be a priority?
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