IA120
Artificial Intelligence

AI applied to the healthcare

Understand, model, and apply artificial intelligence in medical and healthcare environments


This training course explores the practical applications of artificial intelligence in the field of healthcare.

Objectives

Understanding the technical, ethical, and organizational issues related to the use of AI in diagnostics, medical data management, personalized medicine, and decision support tools.

Is it for you ?

Healthcare professionals

Prerequisite

• Basic knowledge of Python and machine learning • Basic understanding of data processing

Your benefits

  • Understand the specificities of AI in healthcare and select appropriate approaches for medical data
  • Identify and analyze real-world use cases (diagnosis, risk prediction, hospital optimization)
  • Explore, clean, and visualize medical datasets to extract actionable insights
  • Build and evaluate predictive healthcare models using tools such as scikit-learn or Keras
  • Integrate ethical, regulatory, and adoption considerations into AI healthcare projects
  • Content

    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)
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    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

    💡 Useful information

    Our training sessions are offered in Montreal or Quebec City, in person or in virtual format. Dates and locations are provided when you select your session below. If you have any questions regarding registration, schedules, the language of instruction, or cancellation policies, please consult our FAQ .

    Duration
    2 days
    Schedule
    See training dates for details
    Regular fee
    $1,035
    Preferential fee A preferential rate is offered to public institutions, to members of certain professional organizations as well as to companies that do a certain amount of business with Technologia. To know more, please read the "Registration and rates" section on our FAQ page. Please note that preferential rates are not available for online training courses. Discounts cannot be combined with other offers.
    $930
    Private or personalized training

    Do you have several employees interested in the same training course? Whether in person at your offices or remotely in virtual mode, we offer private training courses tailored to your team's needs. Group rates are available. Contact us for more details or request a quote online.

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    Request in-company training

    Do you have several employees interested in the same training course? Whether in person at your offices or remotely in virtual mode, we offer private training courses tailored to your team's needs. Group rates are available. Contact us for more details or request a quote online.

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