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
Professor Ian Marshall University of Edinburgh
Developments in neuro MRI: more information, faster
Dr Katy Szczepura University of Salford
Conspicuity Index – a novel method for assessing lesion visibility in DICOM images
Rose Isaacs City, Sandwell & Walsall Breast Screening Service (CSWBSS)
Addressing the nationally declining breast screening uptake trend
Robert Lauritzen Cerebriu
Why real-time machine learning on medical images during acquisition can make a difference
Ernesto A. Cerdena AtlantiCare Regional Medical Center (a member of Geisinger), Atlantic City, New Jersey, USA
UPDATE on Lessons Learned in Adopting Clinical Decision Support Mechanism In Diagnostic Imaging