Access your personal account

Log in to see your favourites, lists and progress.

Access via institution

Not currently connected to any institutions

Connect via

Access Code

Redeem Access Code

Log in to redeem access code

Panel – AI in healthcare: can AI save lives as well as money?

Session
Wednesday, 03 October 2018
10:30
Duration: 27 mins
Publication date: 10 Oct 2018
Location: Kelvin Lecture Theatre, IET London: Savoy Place, London, United Kingdom
Part of event This AI Life

About the session

‘This AI Life’ was the second annual conference organised by Cooley LLP, Future Intelligence and the IET examining the impact of artificial intelligence (AI) on the population.

The aim of this year’s event was to offer a pragmatic assessment of where AI technology is, where it is going, what that means and what we must do to ensure it works to improve people’s lives.

Consisting of thought-provoking case studies, keynotes and discussions to equip attendees with the right skills and knowledge to understand the current landscape, the conference featured a line-up of leading figures from across the field – visionary speakers from industry and academia, as well as tech entrepreneurs and much more.

For more information on This AI Life, visit www.theiet.org/ai

Keywords:: AI

data

diagnosis

human intelligence

patient

research

triage

Channels

Sectors

Sectors

Healthcare

Healthcare

IT

Speakers

Aamir Butt

Building a tested customer centric go-to-market strategy and executing it through focused organisational alignment is in Aamir’s DNA. With 20-years of experience of starting and selling his own businesses, and supporting over 90 other businesses, taking new products to new markets is at the heart of his expertise.Aamir has built scalable business models across several verticals including health, medtech, digital and service industries. Goal focused and results oriented, Aamir knows tools and processes deeply enough to teach, consult, coach and execute.
Dr Beatriz de la Iglesia

Dr Beatriz de al Iglesia is a Senior Lecturer at the School of Computing Sciences, University of East Anglia. She is a data mining expert with experience of health care data analysis. Past projects included the analysis of primary care datasets for disease risk evaluation; text mining of gastroenterology procedural reports to identify key success indicators and linking data in the secondary care setting in order to create patient-centric databases suitable for clinical research.Current projects have an emphasis on big data, in particular methodologies for big data analysis such as work on data quality grading and assurance, analysis of heterogeneous data and multiple imputation for missing data. A current project on emergency preparedness looks at improving current syndromic surveillance systems by collection and analysis of twitter data for syndromic surveillance.
Christian Moroy

Christian Moroy is the co-founder & CTO of Edge Health.Edge Health is a London-based start-up that uses AI to improve operational efficiency of NHS hospitals. Edge has worked with over 10 hospitals in the last year alone and successfully deployed AI tools on the ground that have enabled staff to more efficiently allocate beds and better schedule theatre lists, for example.Prior to Edge, Christian worked as an economist and healthcare consultant focused on technical healthcare advisory.
Finn Catling

Finn Catling is a critical care doctor and machine learning researcher at Royal Free London NHS Foundation Trust.His recent projects include exploitation of structured knowledge for automated clinical coding, anonymisation of radiotherapy data using generative adversarial networks, risk prediction for patients undergoing emergency laparotomy and phenotyping of ventilator-associated pneumonia in electronic health records.Dr Finn is the founder of Decode Healthcare, a start-up which uses machine learning to drive new insights, better outcomes and improved efficiency for hospitals and GP practices. He is an NHS England Clinical Entrepreneurship Fellow, and a member of the core advisory group for the Academic Health Science Networks Artificial Intelligence Programme.Previously, he co-founded the medical education start-up T-Log and the Data Science for Doctors courses.
Dr Beatriz de la Iglesia

Dr Beatriz de al Iglesia is a Senior Lecturer at the School of Computing Sciences, University of East Anglia. She is a data mining expert with experience of health care data analysis. Past projects included the analysis of primary care datasets for disease risk evaluation; text mining of gastroenterology procedural reports to identify key success indicators and linking data in the secondary care setting in order to create patient-centric databases suitable for clinical research.Current projects have an emphasis on big data, in particular methodologies for big data analysis such as work on data quality grading and assurance, analysis of heterogeneous data and multiple imputation for missing data. A current project on emergency preparedness looks at improving current syndromic surveillance systems by collection and analysis of twitter data for syndromic surveillance.

health care hospitals