Objectives of the training
Understanding the technical, ethical, and organizational issues related to the use of AI in diagnostics, medical data management, personalized medicine, and decision support tools.Targeted audience
Healthcare professionalsPrerequisite
• Basic knowledge of Python and machine learning • Basic understanding of data processingTrainers
Benefits for Participants
• Understand the principles of AI and its specificities in the medical sector.
• Identify the main use cases for AI in healthcare.
• Manipulate medical data to train predictive models.
• Assess the limitations, risks, and ethical issues of medical AI.
• Design a simple prototype for an AI application in healthcare.
Course architecture
Fundamentals and use cases of AI in healthcare
Chapter 1: Introduction to AI in the medical sector
• Key definitions and concepts
• Differences between AI, machine learning, and deep learning
• Specific characteristics of medical data
Chapter 2: Use cases of AI in healthcare
• AI-assisted diagnosis (radiology, dermatology, pathology)
• Risk prediction and preventive medicine
• Hospital flow management and resource optimization
• Personalized medicine and genomics
Workshop 1: Exploring a medical dataset
• Data cleaning and visualization (e.g., patient data, imaging)
• Exploratory analysis with Python (Pandas, Matplotlib)
Modeling, ethics, and prototyping
Chapter 3: Predictive modeling in healthcare
• Logistic regression, decision trees, neural networks
• Performance evaluation: precision, recall, ROC curve
• Anomaly detection and disease classification
Chapter 4: Ethical and regulatory issues
• Health data protection (Law 25, HDS)
• Algorithmic bias and fairness
• Acceptability by professionals and patients
Chapter 5: Prototyping a healthcare AI application
• Choosing a use case (e.g., diabetes prediction, file sorting)
• Building a simple model with scikit-learn or Keras
• Presentation of results and discussion
Workshop 2: Mini-project – Creating a predictive model
• Training on a medical dataset
• Interpreting results
• Reflection on integration into a care pathway
Pedagogical details
Type of training
Private or personalized training
If you have more than 8 people to sign up for a particular course, it can be delivered as a private session right at your offices. Contact us for more details.
Request a quotePrivate or personalized training
If you have more than 8 people to sign up for a particular course, it can be delivered as a private session right at your offices. Contact us for more details.
Request a quote