A one day Introduction to Machine Learning

15 February 2019


Machine learning tools are rapidly being developed and implemented within clinical software and are likely to impact on patient care in many different areas in the near future. Healthcare staff need to be equipped with the necessary knowledge to understand how such tools work in order that that they can be implemented safely, for maximum benefit to the health service.

This one day course aims to provide attendees with a basic understanding of machine learning theories. In particular, attendees will be equipped with an appreciation of the relative advantages and disadvantages of different machine learning algorithms and the potential pitfalls associated with training, validating and implementing these tools. Examples of machine learning applications relevant to medical physics, and possible strategies for developing them will also be discussed.

Target audience

Clinical Scientists 
Medical Physics Researchers

Educational Aims 
Introduce basic theoretical concepts related to a range of machine learning tools
Introduce examples of machine learning applications in medical physics, and strategies for development
Provide an overview of testing and evaluation methodologies, including associated pitfalls

Learning Outcomes
Improved understanding of the theory and application of a range of machine learning tools
Improved understanding of the main strengths and weaknesses of different machine learning algorithms 
Increased awareness of strategies for training and evaluating machine learning tools 
Increased awareness of machine learning applications in medical physics

Conference Resources 
Download the latest programme here
Download the abstracts here
Download the speaker biographies here
Presentation slides will be available after the event here (IPEM Members only - login required)

Invited Speakers
Jonathan Taylor, Sheffield Teaching Hospitals
Sarah Gulliford, UCLH
James Leighs, University Hospitals Southampton 
David Towey, Northampton General Hospital 
Nasir Rajpoot, Warwick University
Jorge Cardoso, King's College London 
Zach Eaton-Rosen, King's College London

On-line registration is closed. For any queries, contact the IPEM conference team.

Registration fees (including refreshments and lunch):
IPEM member £165 
IPEM member trainee £140 
IPEM member technologist £125 
IPEM member student/retired/non-salaried  
Non-member £215 

Please note there is a £20 discount on these prices if booked up to 6 weeks in advance.
Full prices apply from 4th January 2019 

Registration deadline: 1st February 2019

This conference will take place at The Studio in central Birmingham, 2 minutes walk from New Street Station. 
Address: 7 Cannon Street, Birmingham, B2 5EP. 
For directions and travel information, visit The Studio website

For nearby hotels, visit LateRooms

If you have any queries, please 
email the IPEM conference team or tel: 01904 550598. 


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