Artificial Intelligence (AI) in cancer care online course

This fully online course empowers you with foundational AI knowledge to confidently and critically integrate and evaluate AI technologies in cancer care. It is suitable for any clinical and non-clinical staff working within cancer settings who want to improve the outcomes through AI.


Our next course starts in:
Please note that applications will close sooner if a course becomes full.
MODE OF STUDY
Fully online
COURSE STUDY TIME
125 hours
COURSE LENGTH
14 weeks
ACCREDITATION
125 CPD points 
PRICE
£1400

This course will empower you to critically engage with AI in cancer care

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Gain a foundational understanding of different types of AI and how AI technologies can be applied across many aspects of cancer care.

Develop the skills and knowledge to evaluate AI applications for use in routine clinical settings critically.

Confidently explore and integrate AI into your practice within a rigorous validation framework.

Driven by clinical case studies

Throughout the course, we follow the AI product development lifecycle for over 10 AI clinical applications from inception to development and clinical evaluation and, in some cases, deployment. AI examples range from expert systems to deep learning algorithms to the latest large language models.

Explores national validation frameworks

The second half of this course is built around understanding and applying the British Standard 30440 to validate AI systems in healthcare settings. A personal licensed copy of the standard is also included in your fee, which is worth £258.
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What we cover

  • History, definitions, and classifications
  • Expert systems and machine learning algorithms 
  • Standards for validating AI in cancer care
  • How can machine learning be used in cancer care
  • Deploying and working with AI in cancer care
  • Natural language processing, generative AI and cancer care

Course lead

Dr Danny Ruta

Danny is AI Clinical Lead for Guy’s and St Thomas’ NHS Foundation Trust, including Guy’s Cancer Centre, which is partnering with the King’s Technology Evaluation Centre (KiTEC), King’s College London, on the clinical evaluation of AI technology in cancer care.

Danny currently leads on several AI clinical evaluations in cancer care, including evaluations of AI for clinical decision support, clinical trials matching and histopathology diagnosis.

Danny has formerly held posts as Director of Public Health for the London Borough of Lewisham and the City of Newcastle, and as Senior Lecturer in Epidemiology and Health Services Research at Newcastle University and Dundee University. He is also an Honorary Senior Lecturer at Kings College London.
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Ready to apply?

Watch. Read. Discuss. Interact. Improve.

This online course provides you with an effective and engaging learning experience that fits around your work and personal commitments. We have crafted a rich learning experience featuring:

Bite-sized interactive video lectures

Short, sharp videos with animations, graphics and exercises to explain key concepts clearly

Case studies and interviews

We bring topics to life with interactive case studies and interviews with experts in their field. 

Live classes and tutorials

This course features three live sessions to provide a space ask questions and work on activities together.

Feedback and support

Our course team provides tailored feedback on all of your assignments and contributions.

What learners on this course say

A thorough and engaging journey through AI in cancer care, from birth of the technology to today. Insightful discussion, useful case studies, a real eye opener to the AI colleague we will all seemingly all work with in the future.
This AI course has deepened my understanding of how AI works and its potential in cancer clinical practice. I’ve gained valuable insights into different AI models, how they are developed, and how they can be validated and applied in healthcare settings.
Excellent grounding in AI to enable a thorough understanding of the applications, including the hype and benefits realisation.

Frequently asked questions

If you can't find what you need below, please contact ai@guyscanceracademy.co.uk

How much does the AI course cost, and what is included in the cost?

Student fees are £1,400 and included within these fees are:
  • access to our online platform and course tutors
  • all required materials
  • three interactive live sessions on Zoom
  • an individual licensed copy of the BS 30440 standards for the validation of AI in healthcare to use in practice settings.

Is a Purchase Order number necessary?

To guarantee a place on any of our courses, the submitted application form will need to be accompanied by a valid Purchase Order (PO) number. 

If a valid PO number is not received within one month before the course starts, we will defer your enrolment until the next cohort or until we have received a PO number.

Self-funding applicants do not need to submit a PO number, but the raised invoice will need to be paid before the commencement of the course.

How much time do I need?

It takes 125 hours to complete the online course, and we'd expect learners to find at least four hours per week for study.

There was some information missing in my application form. Does this matter?

A submitted incomplete application form will need to have all information completed in order to secure a place on any of our courses.

Our course administrator will be in touch to advise if any information is missing.

Ready to apply?

The course runs for 14 weeks
Next available start date: 10 March 2025