Artificial Intelligence (AI) in cancer care online course

This fully online course empowers you with foundational AI knowledge to confidently 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 enhance outcomes through the use of AI.


Next course date: 15 September 2025.

Our next application deadline is 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

Empty space, drag to resize

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.

Course contents

Our course will equip you with the knowledge and skills to confidently evaluate, validate, and integrate AI technologies into real-world cancer settings. Take a look at our curriculum in more detail below:

Core concepts

Learn key definitions, trace AI’s evolution from the 1950s to today, and distinguish between types of AI, including rule-based expert systems, supervised and unsupervised machine learning, and neural networks.

How AI systems work

We break down how expert systems like Deontics’ PROSAIC-DS support prostate cancer decisions; understand neural networks via a brain cancer prediction tool; and build your understanding of model training without needing advanced maths.

Part 1:  Foundations of AI in Cancer Care

Learn about natural language processing and LLMs in healthcare

Understand how tools like Cogstack extract meaning from unstructured clinical notes, and see how large language models (like Google DeepMind’s ELIXR) are being developed for summarising complex patient data and supporting multimodal clinical reasoning.

Evidence and ethics 

Explore how AI products are evaluated for clinical and cost-effectiveness, compare this to traditional interventions, and learn to spot hype using real-world examples.

Use the BS 30440 standard to assess AI at each stage of development

Understand how this comprehensive British Standard provides a framework for designing safe, effective, and ethically sound AI systems in healthcare. You’ll explore what good practice looks like at every stage, from scoping the clinical problem and involving end users, to defining success criteria and aligning with regulatory expectations.

Through detailed case studies, you’ll examine how each product:

- Identified a clear clinical need and designed with real-world healthcare settings in mind.

- Actively involved clinicians and patients in early design and development.

- Applied the relevant sections of BS 30440 to guide safety, usability, and evidence generation.

Part 2:
How to evaluate and validate AI for safe, effective Use

Learn how AI tools are validated in the real world 

Assess how effectiveness, bias, and equity are measured. Identify barriers to implementation, such as integration into NHS workflows, clinician acceptance, and governance hurdles. Explore practical solutions in action.

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.
Write your awesome label here.

Valuable assignments

Throughout the course, you’ll complete a series of practical assignments that help you reflect on, communicate, and apply what you’ve learned. These are reviewed by our experienced tutors, with constructive feedback to support your development.

Communicating AI: Presentation for clinical leaders

You'll create a short presentation to help clinical leaders in your field understand what AI is, how it works at a foundational level, and where it is being applied in cancer care.

You’ll be assessed on your ability to explain key concepts clearly, critically reflect on AI’s potential and limitations, and use real examples to make your message relevant and practical.

Evaluating AI

You’ll write a short report analysing a real-world or proposed AI application in cancer care, focusing on how BSI standards are or could be applied throughout its development and implementation.

You’ll be assessed on your ability to critically use the standards to ensure safety, effectiveness, and trustworthiness, and to reflect on the practical challenges and impacts of applying them in real-world or hypothetical settings.

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.

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 the Guy’s Cancer Centre, and co-founder and clinical, education and training lead for PharosAI, a joint venture between Guy’s and St Thomas NHS Foundation Trust, King’s College London, Bart’s NHS Trust and Queen Mary’s University London.

Danny has led on several AI clinical evaluations in cancer care, including AI for clinical decision support, clinical trials matching and histopathology diagnosis.
Write your awesome label here.
Write your awesome label here.

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: 15 September 2025