AI for better patient outcomes
18 October 2017 | Microsoft Research Lab, Cambridge, UK
Artificial intelligence (AI), deep learning and machine learning all serve to interpret big data for an end goal. In healthcare, better patient outcomes are the great incentive.
With rapid advances in imaging, monitoring technologies, genome sequencing, etc., the amount of health information being gathered is overwhelming.
Being able to translate it quickly and accurately is vital for predicting the pattern of disease and identifying suitable treatment options for patients.
This exciting conference is essential for clinicians, academics and others already working in healthcare, but also engineers looking to apply their expertise from other industries to this rapidly advancing sector.
Dr Kenji Takeda
Director, Azure for Research, Microsoft
- Dr Raj Jena, Scientific Officer, Cambridge University Hospitals NHS Foundation Trust
- Niels Peek, Director, Greater Manchester Connected Health City
- Dr Timor Kadir, Chief Scientist and Technology Officer, Optellum
- Dr Tingting Zhu, Computational Health Informatics (CHI) Laboratory, University of Oxford
- Karl Surmacz, Principal Data Scientist, McLaren Applied
Who should attend?
- Medical imaging engineer
- Medical technician
- Software engineer / developer
- Electrical engineer
- Systems engineer
- Information engineer
- Data analyst
- Computer scientist
Standard fee - £200
Student or clinician - £100