AI for Healthcare - UKRI Centre for Doctoral Training - Similar companies

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AI for Healthcare - UKRI Centre for Doctoral Training

Higher Education ยท London
Website: ai4health.io

Our Centre's vision is to establish a world-leading centre for doctoral training of the next-generation of innovators in Arti ... ficial Intelligence (AI) applied to Healthcare. AI is increasingly used in all aspects of life, and AI in healthcare is one of the areas where AI has the most potential to transform society, by providing more accurate decisions faster, while reducing cost and suffering across society. The healthcare area requires a large number of AI specialists who are able to move fluidly across the disciplinary AI/healthcare boundaries and can develop and implement deployable solutions. So, the ultimate goal is to use AI for the benefit of mankind, by closing the loop between patients and their wellbeing with the help of AI. Thanks to the UKRI Funding Award, the Centre -hosted by the Department of Computing at Imperial College London- opened its doors in October 2019 to start its doctoral training and pursue groundbreaking research in AI for healthcare. This is a fantastic opportunity to unite two disciplines that first seemed at opposite ends of the academic spectrum. AI in Healthcare contains all the elements that make AI a hard problem. AI is hard because systems have to be able to cope with unexpected circumstances when solving perceptual, reasoning or planning problems (e.g. due to the diversity and variability of human nature). Moreover, while many AI systems can solve simple or restricted problems, they often fail when scaled up to more general settings and cannot operate with unusual situations and adjust accordingly. Thus, AI in healthcare needs and drives current AI research avenues such as Interpretable AI, Privacy-preserving learning, trust in AI, data-efficient learning and safety in autonomy. These are key due to the immediate impact on life and health for users depending on AI for healthcare support. read more

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