Dr Anthony Holmes
Anthony is a healthcare technology advisor and former CEO of Optasia Medical. After completing his PhD in 2001 with the University of Manchester Imaging Science group in breast cancer detection in mammograms, he joined Image Metrics to help commercialise machine learning algorithms in the healthcare, media and security domains. From 2006 until 2018 he worked at Optasia Medical, applying machine learning to musculoskeletal disease areas and obtaining regulatory clearance in Europe and the USA for medical device software. As CEO from 2013, he invented and managed the development of ASPIRE, a machine-learning powered and CQC-regulated teleradiology service for the diagnosis and referral of osteoporotic vertebral fracture patients, now deployed in several NHS Trusts. Anthony now works with a number of companies and universities, advising them on all aspects of commercialisation of machine learning.
Bridging the gap: how good ideas become great products
Artificial Intelligence is everywhere, or appears to be. Yet whilst it has the potential to make a big difference in healthcare, in truth there are still relatively few genuine AI deployments that genuinely impact patient outcomes. Based on two decades of experience commercialising AI in healthcare, Anthony will provide some ‘do’s and don’ts’ to consider when bringing AI algorithms
to market, including the most important: “Get out of the building!”.
EVEN MORE SEMINARS
Dr Sue Astley University of Manchester
Deep Learning for Breast Density Assessment and Risk Prediction
Senthil Periaswamy, PhD iCAD Inc.
How AI Can Improve Diagnostic Performance and Reduce Reading Time in Breast Tomosynthesis
Jacqueline Moxon EMRAD – NHS East Midlands Radiology Consortium
Developing, testing and deploying Artificial Intelligence in Breast Screening services
Simon Walker-Samuel University College London
Using medical imaging with machine learning to develop efficient tools for diagnosing cancer
Dr Phil Koczan NHS England
Assessing the application of Artificial Intelligence and its use in the NHS