AI in Healthcare

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The relationship between plant stomata and climate change provides a unique framework for working with deep neural networks. The programming language Python is also very accessible as a tool to study the fundamentals of neural networks.

A strength of the KIKS project is the collaboration between researchers and teachers. The teaching material of KIKS is developed in parallel with the results of ongoing scientific research at UGent and the Plantentuin Meise.

Scientific Research

Applications of artificial intelligence (AI) are finding their way into our society, including hospitals. But innovations in the healthcare sector are not only on the hospital floor but also in general practitioner practices, in drug research, and at your home. Researchers develop applications of artificial intelligence for the healthcare sector. This is best done by interdisciplinary teams that anticipate possible negative effects and prioritize putting the patient at the center. Progress in hardware, e.g., sensors, and software, e.g., language technology, leads to new possibilities. Data-driven and rule-based AI models are combined into effective and more transparent systems. Thanks to wearables, patients can be monitored remotely, research on migraines is conducted through a smartphone app, anamnesis interviews are conducted via a chatbot, and AI assists radiologists in assessing medical images.

If these new technologies are developed, taking into account all users and possible societal effects, they have the potential to reduce the workload in the healthcare sector and provide better healthcare.

Learning paths

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Project Sheet AI in Healthcare Download This is a brief overview of the AI in Healthcare project with project structure and characteristics.
Sprouts Download A game as an introduction to 'Graphs'.
Explanation of Exercises on Graphs from the Student Course Download Which figures represent the same graph? A more formal approach.
Explanation of Exercises on Graphs from the Student Course Download Which figures represent the same graph? An approach with colors.
Student Course - Finality Throughflow Download Student course.
Card Set - Also available in print Download With this card set, you can make students reflect on the ethical aspects of new technologies. What about privacy? Are social contacts not at risk? Which technologies are welcomed? What is undesirable? Are the new technologies affordable for everyone?
Manual for Card Set Download This manual provides additional explanation for the card set.
Decision Tree 'mBrAIn' Project in Non-compact Form Download In the research project 'mBrain,' which aims to develop an app predicting a migraine attack, a decision tree was constructed. This decision tree addresses a binary classification problem: there are only two classes, 'Migraine' and 'No Migraine.' (Sources: Femke Ongenae. (2021), UGent; Van Hoecke, S., Ongenae, F., Paemeleire, K., & Vandenbussche, N. (2020). App moet hoofdpijn voorspellen. EOS Wetenschap Special, Technologie en gezondheid, 25.) We have transformed the shape of this decision tree into a binary decision tree to demonstrate that this form is not always user-friendly. For more explanation, see chapter 4 of the student course of this project.
Search for Speech - Computational Thinking (unplugged activity) Download Locked-in syndrome is one of the worst medical conditions. You are completely paralyzed, except that you might still be able to blink with one eye. Your intelligent mind is trapped in a useless body: you can feel everything but cannot communicate. It can happen to anyone, out of nowhere, as a result of a stroke. If you want to help people with the locked-in syndrome, is it best to become a doctor or a nurse? Or can you also help as a computer scientist?
The teaching material is made available under the terms of a Creative Commons BY-SA license.