Welcome everybody to another episode of Beyond the Patterns.

Today I have a special guest, Professor Dr. Schuler from Augsburg University.

He received his diploma, doctoral degree, habilitation and adjunct teaching professor

in machine intelligence and signal processing all at TU Munich, Germany.

He is full professor of artificial intelligence and the head of GLAM at Imperial College London,

UK.

Full professor and chair of embedded intelligence for healthcare and well-being at the University

of Augsburg, Germany.

Co-funding CEO and current CSO of Ordineering, an audio intelligence company based near Munich

and in Berlin, Germany and permanent visiting professor at HIT China amongst other professorships

and affiliations.

Previous stays include full professor at the University of Passau, Germany and researcher

at Juha Neum Research in Graz, Austria and CNRS Limsey in Orsay, France.

He is a fellow of the IEEE, Golden Core awardee of the IEEE Computer Society, fellow of the

BCS, fellow of the ISCA, President Emeritus of the AAAC and senior member of the ACM.

He co-offered more than 900 publications and has more than 30,000 citations according to

Google Scholar and an age index of 85.

He is field chief editor of Franchise in Digital Health and was editor-in-chief at IEEE Transactions

on Affective Computing amongst manifold further commitments and service to the community.

His more than 30 awards include having been honored as one of the 40 extraordinary scientists

under the age of 40 by the WEF in 2015.

He served as coordinator of PI and more than 15 European projects, is an ERC starting and

DFG Reinhard Kosselig-Grante and consultant of companies such as Barclays, GN, Huawei

or Samsung.

So very impressive career that Professor Scholar has done in his young age already and now

I'm very much looking forward to his presentation that is entitled ambient health intelligence.

Thank you very much Andreas for this very kind introduction and indeed it's all my

honor to be presenting in this great circle here today and the topic indeed is ambient

health intelligence.

I want to talk a little bit about the idea of AI for health and in particular the idea

of mobile health put together was also IoT so surrounding sensors.

Frankly we will mainly be talking about mobile health and just at the end more towards integrating

external sensors.

So also I try to make it largely about the AI part of things but I want to just give

a brief introduction to motivate the idea of healthcare applications and that is starting

with the idea of modern medicine at medicine 1.0 where you have modern anesthesia for example

in the mid 1800 somethings moving to medicine 2.0 where you have an increasing technization

x-rays for examples and more industrial principles for hospitals.

Medicine 3.0 now we're already in the 1980s was increasing automation but more of e-health

kind of things such as Puma 200 the first robot using such operations if you can see

or I hope you can actually see my mouse pointer.

And finally medicine 4.0 where you have information interlinked semi-autonomous systems, health

apps and phones and that led to the name mHealth coined by my Imperial College London colleague

Robert Isipanian.

At that time he wasn't with us and now he is and mobile health is the idea really of

making those health apps on the smartphones but we're integrating AI as you will be seeing

in the oncoming slides to make this much more powerful than reminders to take your meditation

sorry stuck there.

So the ideas to have health intelligence exploiting embedded sensors embedded artificial intelligence

and use that in your everyday life for health care and well-being.