Dr Keith Grimes
Clinical Digital Health and Innovation Director, Babylon
This event has been cancelled. Apologies for any inconvenience this may have caused.
Join this exciting webinar aiming to encourage research and collaboration between commercial and academic sectors for the application of digital health and AI in their practice.
An ensemble of international experts with medical and digital health backgrounds will present the audience with the most recent innovative applications of digital health technology and AI in different areas relevant to work, workplace and workforce.
The presentations encompass the currently applied technologies in telemedicine and remote medical assessments, relevant research, legislative aspects and developing technologies and applications.
During this session, participants will be able to:
The purpose of this webinar is not only to raise awareness of the current state of digital health technology and AI in medicine but also to encourage the participants to explore avenues that these technologies can be incorporated into their own practice in bespoke innovative manners.
This webinar is available for on-demand viewing. The webinar recording will be available for registered delegates up to 60 days after the live webinar broadcast via Zoom. The link will be sent 24 hours after the webinar takes place.
A CPD certificate with CPD credit will be issued to those joining the webinar live as well as those who watch the recording afterwards. Certificates will be issued 7 days after the webinar to those who watch it live and after 30 days for those that watch the recording.
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Clinical Digital Health and Innovation Director, Babylon
Vice President Global Head of Artificial Intelligence and Data Stockholm
Dr Christian Guttmann has worked with Artificial Intelligence (AI) as scientific researcher and business entrepreneur. In addition to his interest in discovering new AI approaches, he focuses on operationalising this new type of technology into the health care and lifescience sector. He is currently the Global head of AI and Data at one of the largest IT firms in Northern Europe, and senior researcher at the Karolinska Institute in Sweden.
Assistant Professor of Innovation, Policy Erasmus University Rotterdam, Senior Policy Advisor, The Dutch National Health Care Institute
Orthopaedic Surgeon, Mayo Clinic Minnesota
Dr Taghi Ramazanian is a board certified orthopaedic surgeon and a physician scientist at Mayo Clinic. His primary research interest is the application of artificial intelligence in solving problems in orthopaedic surgery. He and his collaborators developed several computer vision and natural language processing algorithms that helped with analysing large scale data in orthopaedic surgery. Correlation between demographics and knee alignment in large knee osteoarthritis cohorts and risk prediction algorithms for dislocation after total hip replacement are examples of his research.
Chair: Dr Sam Valanejad, President-Elect, Occupational Medicine Section, Royal Society of Medicine and Consultant Specialist in Occupational Medicine, Cordell Health
Speaker to be confirmed
Professor Moi Hoon Yap, Professor of Image and Vision Computing and Lead of Human-Centred Computing, The Manchester Metropolitan University and Professor Neil Reeves, Professor of Musculoskeletal Biomechanics and Faculty Head of Research and Knowledge Exchange in Science and Engineering, The Manchester Metropolitan University
Dr Payam Abrishami-Shirazi, Assistant Professor of Innovation, Policy Erasmus University Rotterdam, Senior Policy Advisor, The Dutch National Health Care Institute
To be confirmed
Dr Christian Guttmann, Vice President, Global Head of Artificial Intelligence and Data Stockholm
Dr Catherine Park, Advanced Postdoctoral Research Associate, Fellow Center for Innovation in Quality Effectiveness and Safety (IQuESt) Houston Texas
Dr Taghi Ramazanian, Orthopaedic Surgeon, Mayo Clinic Minnesota USA
Online
Disclaimer: All views expressed in this webinar are of the speakers themselves and not of the RSM nor the speaker's organisations.
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.
Webinar recordings will be available for registered delegates up to 60 days after the live webinar, via Zoom. The link will be sent 24 hours after the webinar takes place.