Artificial Intelligence in Medical Data and Applications Using Python

DATE & TIME
Saturday 11 & Sunday 12 November 2023 | 10:00 - 15:30
LOCATION
Future Learning Lab & Online
ADMISSION
170 €
140 € (for group registrations until 31.10.2023)
Online: 100 €
REGISTER

DESCRIPTION

Equip yourself with all the necessary cutting-edge knowledge of AI in the healthcare industry through the new hybrid course. It is specially designed for students, IT workers and doctors who want to understand and apply AI to medical data.

The aim of the seminar is to familiarize the participants with the basic technologies of Artificial Intelligence, Machine Learning and Deep Learning and the development of applications using Python. During the 12 hours of training and under the guidance of the Assistant Professors of the Department of Informatics of the Ionian University, Themistoklis Exarchos and Aristidis Vrachatis, and the Researcher Konstantinos Lazaros, examples of application of techniques on medical data, such as biosignal processing, clinical data and medical images, will be implemented for the development of intelligent systems and applications.

More specifically, during the seminar the participants will:

  • Understand the introductory concepts of Artificial Intelligence, Machine Learning and Deep Learning, and their potential in the field of Biomedicine.
  • Become familiar with the fundamental principles and mathematical basis of AI in order to understand in depth and interpret its results in the analysis of biomedical data.
  • Learn about the basic Grouping and Categorisation Algorithms, understanding when, how and why they are used.
  • Learn how to analyse clinical data, MRI images and text from medical prescriptions using Machine Learning techniques with the Python programming language.
  • Address practical biomedical issues by applying and interpreting Machine and Deep Learning techniques.
  • Acquire basic and essential skills in using major Python libraries such as Numpy, Pandas, Matplotlib, Scikit-Learn and TensorFlow.

The Python course will be offered both face-to-face and online using the hybrid method. In the face-to-face format, participants will need to bring their personal computers and will have the opportunity for hands-on learning with direct technical support. For online participation, participants will be able to attend the lectures and laboratory exercises without hands-on technical support.

Upon completion of the seminar, the trainees will know the basic principles of AI and the corresponding methodologies. They will be able to solve problems that require the application of AI and design effective solutions for the development of intelligent and decision support systems in Python.

SEMINAR MODULES

1. Introduction to Artificial Intelligence in the field of Biomedicine (3 hours)

    • Introductory Concepts
    • The 4th Industrial Revolution in Health Care
    • Modern challenges in the field of Biomedicine
    • Artificial Intelligence and the Labour Market

2. Applications of AI in Healthcare and Medicine (3 hours)

    • Applications in Hospitals
    • Applications in the Pharmaceutical Industry
    • Applications to Clinical Data for Complex Diseases

3. Supervised Learning Methods in real biomedical problems (3 hours)

    • Categorisation and Regression Algorithms
    • Algorithm Application and Evaluation
    • Implementation in Python (R or Matlab)

4. Unsupervised Learning Methods in Real Biomedical Problems (3 hours)

    • Clustering and Visualization Algorithms
    • Algorithm Application and Evaluation
    • Implementation in Python (R or Matlab)

TRAINERS

Exarchos Themistoklis, Assistant Professor

Exarchos Themistoklis is an Assistant Professor at the Department of Informatics of the Ionian University with the subject “Data Modeling and Decision Support Systems”. He graduated from the Department of Computer Engineering & Informatics of the University of Patras. He received his PhD degree from the Medical School of the University of Ioannina. His research focuses on the fields of Data Modeling and Mining, Development of Decision Support Systems with Intelligent Techniques, Big Data Management and Biomedical Informatics.

Vrachatis Aristidis, Assistant Professor

Vrachatis Aristides is an Assistant Professor at the Department of Computer Science of the Ionian University with the subject “Artificial Intelligence in Complex Systems Modelling”. He received his PhD in 2016 from the Department of Computer Engineering & Informatics of the University of Patras, where he graduated in 2011 and received his MSc in MSc in Computer Science and Technology in 2013. His research focuses on the field of Artificial Intelligence and more specifically on Machine Learning for Big Data Mining and Modeling of Complex Systems. His research mainly addresses problems and data in Biomedical Sciences.

Konstantinos Lazaros, Researcher

Konstantinos Lazaros, Researcher at the Bioinformatics and Human Electrophysiology Lab of the Ionian University, is working on the design of computational tools for the analysis and processing of large-volume biomedical data.

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