Medicine

AI in Medicine

Discover the skills that are transforming medicine and boost your future career

Sonia Dembowska

Sonia Dembowska

PhD Researcher in Statistics, University of Leeds

Secure your place
Introductory
15-19
3.5 hours
Online

Be at the forefront of a medical revolution - leading-edge insights to supercharge your medical career

From robot–assisted heart surgery to cancer-detecting algorithms and Elon Musk’s Neuralink project, Artificial Intelligence is set to transform the way we deliver patient care.

Machine learning has the potential to impact every area of medicine, bringing with it the possibilities of cheaper, more accurate, more accessible treatment. As a result, the demand for professionals with both AI skills and medical knowledge has never been greater.

Giving yourself the ability to apply AI insights to medical challenges will set you apart from the competition and boost your career prospects in the fast-changing world of global health.

Expert insight
Elite Instruction

Get an expert, insider guide to the world of medicine today

Unique advice
Healthcare Insights

Discover the trends shaping the future of medical research

Mentorship
Expert Guidance

Learn how AI is impacting careers and roles in global health

Real world challenges
Practical Learning

Benefit from hands-on tasks and real-life scenarios

Open industry doors
Insider Advice

Gain first-hand insight into a wide range of medical careers

Unique advice
Executive Career Coaching

Pick up career tips and advice from healthcare experts

Specialist network
Valuable Contacts

Build a network of current and future medical professionals

Discover future
Get Ahead of the Curve

Give your university applications and career pathway a competitive edge

Sonia Dembowska

Meet our guest expert

Sonia Dembowska

PhD Researcher in Statistics, University of Leeds

Sonia has a first-class degree in Mathematics and a masters in Data Science. She is currently studying for a PhD in Statistics, developing models for temporal image datasets using Statistical and Deep Learning techniques to forecast patient outcomes. She is a Cohort V member of Conception X, a national incubator programme for deeptech startups, and the founder of a MedTech company.

Fully certified to help you stand out from the crowd and boost your CV

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/What to expect

Explore the world of AI in Medicine

Hosted by a medical expert, our workshop introduces you to the world of AI in medicine today and its potential to improve quality and delivery of care, from medical research and health screening to streamlined hospital management. Discover how programming and machine learning skills can bring advantages and opportunities as you pursue a career in medicine.

Practical, hands-on learning

The workshop gives you first-hand experience of training a machine-learning system to suggest a clinical diagnosis from electronic health data and of evaluating different AI model types. You’ll gain practical experience of applying key concepts and definitions used in medical statistics, as well as a deeper understanding of how AI can be used to process large amounts of clinical information to identify disease and deliver personalised treatment.

Meet the Med-Tech professionals

Our guest professionals will share their experiences of working across a variety of medical settings and discuss the transformative role that AI plays in their field. They’ll also answer individual questions and give you valuable insights to help you progress on your chosen career path.

/Workshop timetable

13.30

Welcome

Meet your instructor and get brief overview of the day ahead.

13.40

AI in Medicine

Explore the ways AI is being applied across different areas of healthcare, separate the myths from reality, and discover the factors driving its growth.

14.10

AI for medics – how you can benefit

Discover some of the reasons why tech and AI skills are critical for healthcare professionals and where they could lead you.

14.40

Build your practical skills

Gain practical AI and programming experience by training a machine learning system to suggest a patient diagnosis from clinical data.

15.40

Today’s tech skills for AI

Now you’ve worked with AI first hand, gain an understanding of the tools and programmes you need to build different machine learning algorithms.

16.00

Panel Q&A

Ask our experts – get the insight and advice you need to get ahead.

/Requirements

A PC or Mac (laptop or desktop)

Zoom to access the workshop

A stable internet connection

/Upcoming workshops

There are no workshop dates currently scheduled.

/Frequently asked questions

Skills Gap is a careers accelerator that runs insightful workshops for young people to give them a competitive edge in their future studies and career. We offer a range of intensive workshops designed specifically for students and delivered to small groups by experienced industry experts.

The workshop is specifically designed for students aged 15 to 19 who are looking for a career in medicine or biomedical science, and want to understand more about how AI and machine learning skills can support different medical career paths. It aims to give you a head start before you begin university or take any other route into the sector.

Not at all. The workshop has been created with beginners in mind, and has been designed to give you an overview of AI in medicine and its future potential, and to introduce you to basic machine learning skills.

Essential hardware
You will need a PC or Mac (laptop or desktop) which has at least 8GB of RAM and runs Windows 10 or Mac OS 10.11 or later.

Essential software
You will need Zoom. If you have not used it before, you can create a free account and download the app for your phone, tablet or computer.

Recommended
Google Chrome, Firefox and Safari provide the best tested web browsers for the Google Colab activities.

We also highly recommend a second screen. This will allow you to quickly and easily move between the various activities.

(While a tablet, smartphone or Chromebook can be used as a second screen, we don’t recommend you use these on their own for the workshop.)

We use Zoom. It is free, easy, allows everyone to be on camera and mic at the same time, and features intuitive presentation and learning tools, like collaborative white boards and break-out rooms for group work.

You also need a Google account to upload the files into your online workspace for the practical session.

You will need a stable internet connection capable of supporting video conferencing. We recommend using a wired ethernet connection with a download speed of at least 4Mbps and an upload speed at least 1Mbps (preferably 3.8Mbps).

We will send you a Zoom link via email shortly before it starts.

If you have not been able to find out what you need from the information on this page, please email our friendly team at hello@skillsgap.tech.

/ Find your future in tech

Our Careers Guide lifts the lid on what employers are looking for. We explore how to build a balanced skills profile that blends qualifications, tech know-how, emotional intelligence and a growth mindset – to give you a competitive advantage.