In collaboration with the University of Manchester, the Topol Digital Fellowship Programme recently invited expressions of interest from non-Fellows to join the programme’s Machine Learning in Service Design and Delivery online course taking place this September.
Following 23 applications for 10 free places on the course, the University of Manchester have now selected the successful applicants.
Those who have secured a place are working in Trusts all around the country on an amazing variety of projects. These include exploring the role of AI in skin cancer detection, the automatic detection of brain haemorrhage and skull fractures on CT scans, the automation of radiotherapy treatment planning, and a service evaluation of AI-based automated echo reporting of cardiac function in heart failure and breast cancer patients.
All these projects will help to increase the impact of AI systems in helping to solve both clinical and operational challenges across the NHS, including reducing waiting times, improving early diagnosis, and saving staff time.
Director of Innovation, Digital and Transformation at HEE, Patrick Mitchell said:
“It’s fantastic that we’ve been able to open up these 10 additional places on the machine learning course that has been commissioned for the Topol Fellows. Extending the reach of this learning allows us to support even more vital, innovative and ground-breaking work which will directly improve staff efficiency and processes and have a huge, tangible impact on patient safety and care.”
Participants in the course will attend webinars covering topics such as how to identify socio-technical barriers to machine learning in practice and introducing Machine Learning in Health Data Science, as well as taking part in a 2-hour panel session.
In line with the criteria to become a Topol Digital Fellow, who attend the course as part of their studies, applicants were expected to hold a professional registration from any clinical discipline, including healthcare science, and have an active project that the learning from the course can be applied to.
Places were advertised throughout July and all applications were reviewed blindly so that offers were made purely on the criteria described above. The course will be delivered remotely and there is absolutely no cost to the individual or their organisation.
To find out more about the Topol Digital Fellowships and learn more about the projects our Fellows are delivering, please explore our website.