IHB0090 Artificial Intelligence in Healthcare

Nädalavaade

• General information

  Ahenda kõik Laienda kõik

  
  

  • 

    Introduction to the course Lehekülg
  • 

    Course info (link to Study Information System) URL
  • 

    Action plan Fail

    Darker pink - Labs/contact lecture
    Lighter pink - Independent work (might consists an assignment which needs to be submitted)
    Bold: Matlab assignments

  • 

    Course feedback Tagasiside
  • 

    General announcements Foorum
  • Coordinator - Maie Bachmann - firstname.lastname@taltech.ee - please include IHB0090 in subject line

    NB! Contact lectures-labs take place in room SOC-407

    Exams:
    21.05.2025 11:00 
    27.05.2025 11:00 
    04.06.2025 11:00 

    Multiple-choice exam and you have to be personally present.
    

    REGISTER in OIS (Study information system) - currently not open

    As this course follows the session based study style the contact lectures-labs do not take place every week. Contact lectures-labs are indicated in OIS timetable with the room number. The Action Plan has date and TIME presented for contact lectures, the others are non-contact weeks, which usually consist of a video lecture + additional independent work in Moodle. If not otherwise specified, the uploaded material (non-contact week) has to be processed during that week. 

    MATLAB self-paced courses freely available for TalTech students:

    If you have previous programming experience: MATLAB Onramp (2 hours), short introductory tutorial  https://www.mathworks.com/learn/tutorials/matlab-onramp.html
    If you have no previous programming experience or just a slight experience: MATLAB Fundamentals is suggested (takes about 2-3 full days) https://www.mathworks.com/learn/online-courses/matlab-fundamentals.html

    Use your TalTech e-mail address to access the MATLAB campus license.
    

    University account: http://pass.ttu.ee
    MathWorks account: https://se.mathworks.com/
    Matlab: https://se.mathworks.com/academia/tah-portal/tallinn-university-of-technology-40687166.html#get 

    For your information: 
    FDA Releases Artificial Intelligence/Machine Learning Action Plan (January 12, 2021)
    https://www.fda.gov/news-events/press-announcements/fda-releases-artificial-intelligencemachine-learning-action-plan
    
    European AI Act text web page
    

    
    
    
    

  • 

    Additional Reading: 2025.02.04 How is AI shaping the future of healthcare in Finland and Estonia? Kaust

    https://www.tehnopol.ee/en/how-ai-is-shaping-the-future-of-healthcare-in-finland-and-estonia/

    Saadaval üksnes kui: Te kuulute rühma Registered2025

• Introduction and Assessment Principles
  • 

    Lecture Intro & Assessment Fail

    PDF-dokument

• AI Motivation and Definitions,
  • Prof Ivo Fridolin: firstname.lastname@taltech.ee
  • 

    Motivation & Definitions AI Healthcare Fail

    PDF-dokument

• Structure and components of ML
  • 

    Structure and components of machine learning (slides) Fail
  • 

    Structure and components of machine learning (handouts) Fail
  • 

    Example of basic linear classifier Fail
  • 

    Lecture: Structure and components of ML BigBlueButtonBN
  • Dr Kristjan Pilt: firstname.lastname@taltech.ee

• Naive Bayes Classifier and Feature Discretization
  • This is introductory video lecture to Naive Bayes Classifier. It is 43 minutes long and contains basics of the probability calculations with the examples. The lecture ends with the definition of Naive Bayes classifier. Who is not confident in the calculation of probability and don't remember exactly the concepts of it then please look this video lecture through before next Wednesday (26th of February).

  • 

    Introduction to Naive Bayes classifier and feature discretization (slides) Fail
  • 

    Video lecture: Introduction to Naive Bayes classifier and feature discretization URL
  • 

    Naive Bayes Classifier and Feature Discretization (2025) - Lecture BigBlueButtonBN
  • 

    Naive Bayes Classifier and Feature Discretization (slides) Fail
  • 

    Lecture task - Excel file Fail
  • Files for practical work assignment.

    IMPORTANT!!! Datasets are allowed to use only in the purposes of this course!

  • 

    Naive Bayes classifier task - test group (text file) Fail
  • 

    Naive Bayes classifier task - test group (Excel file) Fail
  • 

    Naive Bayes classifier task - training group (text file) Fail
  • 

    Naive Bayes classifier task - training group (Excel file) Fail
  • 

    How to create correlation matrix in Excel (video) Fail

    Videofail (MP4)

• AI Act
  • Work through the material, no additional assignment (nothing to upload) 
    

    • Watch the following Coursera content:
      Introduction to AI Ethics and Regulatory Compliance
      Introduction to the Regulatory Landscape: EU AI Act
      Practical Issues in AI and ML Applications in Medicine

    • Read the concise summary of the AI Act

    Additional material: AI Act text web page
    
    

    "The AI Act entered into force on 1 August 2024, and will be fully applicable 2 years later on 2 August 2026, with some exceptions:

    • prohibitions and AI literacy obligations entered into application from 2 February 2025
    • the governance rules and the obligations for general-purpose AI models become applicable on 2 August 2025
    • the rules for high-risk AI systems - embedded into regulated products - have an extended transition period until 2 August 2027" from https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai

    
    
    

• Introduction to supervised learning & linear regression
  • 

    Lecture: Supervised learning & linear regression URL
  • 

    Introduction to supervised learning Fail
  • 

    Linear regression Fail

• Logistic regression and introduction to artificial neural networks
  • 

    Lecture: Logistic regression URL
  • 

    Logistic regression Fail
  • 

    Lecture: Artificial neural networks URL
  • 

    Introduction to artificial neural networks Fail
  • 

    assignment data Fail
  • 

    MATLAB Assignment Description Fail

    PDF-dokument
  • 

    MATLAB Assignment Ülesanne

• Classification validation methods
  • 

    Lecture: Classification validation methods BigBlueButtonBN
  • 

    Classification Validation Methods Fail
  • 

    Lab Assignment (week 1) BigBlueButtonBN
  • 

    Lab_Assignment_3_and_4 Kaust
  • Ardo Allik: firstname.lastname@gmail.com
    Please send lab assignment also to this e-mail!
    

• Multiclass classification
  • 

    Lecture: Multiclass classification URL

    Please let me know if the link/video does not work.
    
  • 

    Multiclass Classification Fail
  • 

    Lab Assignment (week 2) BigBlueButtonBN
  • Ardo Allik: firstname.lastname@gmail.com

• Decision tree classification

  Pole saadaval

• 04.04 & 11.04 Introduction to unsupervised learning. Hierarchical clustering. Partitional clustering (K-means).

  Pole saadaval

• Evolutionary algorithms

  Pole saadaval

• Legal aspects of Medical Device (incl AI)

  Pole saadaval

• Case study HealthCode AI experience

  Pole saadaval

• _

  Pole saadaval

• _

  Pole saadaval

• _

  Pole saadaval

• Additional material