This virtual masterclass will guide you through the stages of building AI solutions in healthcare, from development to deployment.
Taking place over two half days, join us to understand how to take an AI solution from idea to bedside and learn from those with expertise in the field. Each webinar will be split into three sessions, each covering a key stage in the development lifecycle of an AI healthcare product.
Day 1 will offer an overview of what you need to consider when designing and building AI models and solutions, as well as regulatory requirements to be aware of.
Session 1: ‘Design’
Session 2: ‘Build’
Session 3: ‘Regulate’
This virtual conference is ideal for healthcare professionals, digital health professionals, academics and students with an interest in AI technologies and a desire to understand how they can be successfully developed and deployed for healthcare purposes.
Receive a £10 discount for Day 2 if you have already booked to attend Day 1, using voucher code MULTITEP59. Please complete your booking for Day 1 before proceeding to book and apply the voucher code to your booking for Day 2 in a separate transaction.
CPD accredited - A CPD certificate with 3 CPD credits will be issued to those joining each webinar live and will be automatically issued after 7 days to those who watched the webinar live in its entirety. Those who watch the webinar on-demand will receive a CPD certificate 30 days after the webinar has gone live.
Join in the conversation online using #RSMDigiHealth
Follow us on Twitter: @RoySocMed
Registration for this webinar will close 2 hours prior to the start time. You will receive the webinar link 2 hours before the meeting. Late registrations will not be accepted.
Data scientist
James is an experienced Data Scientist with a Master’s degree in Machine Learning.
He worked at Babylon Health on one of their regulated medical devices, the symptom checker. He also helped develop their automated clinical validation system.
Lead for Digital Health, Institute of Global Health Innovation, Imperial College London
Dr Saira Ghafur is the Digital Health Lead at the Institute of Global Health Innovation, Imperial College London and honorary consultant in respiratory medicine at St Mary’s Hospital.
At Imperial College London, Saira has spearheaded the College’s collaboration for healthcare cybersecurity. Saira also leads work on evidence generation for digital health, the value of healthcare data and AI and machine learning for health in low and middle-income countries.
Saira is also the co-founder of two start-ups, Psyma (mental health) and Prova Health (evidence generation in digital health). Saira holds a MSc in Health Policy from Imperial and was also a Harkness Fellow in Health Policy and Practice in New York in 2017.
Senior Research Scientist, Google Research
Madeleine Clare Elish is a Senior Research Scientist at Google Research. Previously, she co-founded and led the AI on the Ground Initiative at Data & Society Research Institute, an independent non-profit research organisation focused on the social implications of datacentric technologies and automation.
As a cultural anthropologist, her work examines the impacts of AI and automation on society. She has conducted fieldwork across varied industries and communities, ranging from the Air Force, the driverless car industry, and commercial aviation to precision agriculture and healthcare.
Her research has been published and cited in scholarly journals as well as publications including The New York Times, The Guardian, Wired, and MIT Tech Review. She holds a PhD in Anthropology from Columbia University and an SM in Comparative Media Studies from MIT.
Clinical UX Specialist and Lead Instructor, Clinical UX Association
Since 2014, Gyles has been working in digital health and Clinical UX, the niche area of user experience exploring the experiences clinicians and patients have with healthcare technology and services.
He has worked on a variety of international digital health projects and has spoken at conferences around the world. His particular areas of focus are digital therapeutics and the application of behaviour change theory into solutions.
He graduated from Bart’s & the London in 2011 and earned his masters in Human-computer Interaction from UCL in 2018.
Chair: Sandy Wright, RSM Digital Health Council Member
Madeleine Clare Elish, Senior Research Scientist, Google
Elizabeth Anne Watkins, Research Affiliate, Data & Society Research Institute
Darren Gates, Paediatric Intensivist & Clinical Innovation Consultant, Alder Hey Children's Hospital
Gyles Morrison, Clinical UX Specialist & Digital Health Consultant
Chair: Annabelle Painter, RSM Digital Health Council Member
Chris Lovejoy, Research Data Scientist, Dunnhumby
James Dewar, Data Scientist
Jelena Polajeva, Business Development Manager, NIHR
Isabel Straw, Emergency Doctor and PhD candidate, UCL
Yura Perov, Head of AI and Data Science, EQL
Chair: David Taylor, RSM Digital Health Council Member
Salman Razzaki, Digital Health Consultant, Hardian Health
Jacob Turner, Barrister, Fountain Court Chambers
Hutan Ashrafian, Chief Medical Officer, Oxford Medical Products
Saira Ghafur, Digital Health Lead, Imperial's Institute of Global Health Innovation
Online
Disclaimer: All views expressed in this webinar are of the speakers themselves and not of the RSM nor the speaker's organisations.
Special rates for difficult times
The RSM wishes to offer healthcare professionals continued learning opportunities during the coronavirus pandemic. The RSM’s weekly COVID-19 Series webinars remain free of charge, while there will be small charges to register for other online education. These fees will enable the RSM to continue its programme of activities and will apply during the course of the pandemic.
Registration for this webinar will close 2 hours prior to the start time. You will receive the webinar link 2 hours before the meeting. Late registrations will not be accepted.
All webinars will be available for registered delegates 30 days after on Zoom. The link will be sent 24 hours after the webinar takes place.
This webinar will be recorded and stored by the Royal Society of Medicine and may be distributed in future on various internet channels.
