Learn2Trust: A video and streamlit-based educational programme for AI-based medical image analysis targeted towards medical students

TL;DR

This paper presents Learn2Trust, an online educational program using videos and Streamlit to teach medical students AI-based medical image analysis, aiming to foster trust and understanding of AI in medicine.

Contribution

It introduces an innovative, self-guided online course focused on AI fundamentals in medical imaging, combining theory, practical exercises, and assessments for medical students.

Findings

Positive feedback from students on course usefulness

Increased understanding of AI concepts among participants

Potential to reduce skepticism towards AI in medicine

Abstract

In order to be able to use artificial intelligence (AI) in medicine without scepticism and to recognise and assess its growing potential, a basic understanding of this topic is necessary among current and future medical staff. Under the premise of "trust through understanding", we developed an innovative online course as a learning opportunity within the framework of the German KI Campus (AI campus) project, which is a self-guided course that teaches the basics of AI for the analysis of medical image data. The main goal is to provide a learning environment for a sufficient understanding of AI in medical image analysis so that further interest in this topic is stimulated and inhibitions towards its use can be overcome by means of positive application experience. The focus was on medical applications and the fundamentals of machine learning. The online course was divided into consecutive lessons, which include theory in the form of explanatory videos, practical exercises in the form of Streamlit and practical exercises and/or quizzes to check learning progress. A survey among the participating medical students in the first run of the course was used to analyse our research hypotheses quantitatively.