The 3IA Côte d’Azur launches a new training course on artificial intelligence in health and medicine

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The 3IA Côte d’Azur launches a new training course on artificial intelligence in health and medicine

In partnership with the University of Côte d’Azur’s Faculty of Medicine, the Institut Interdisciplinaire d’Intelligence Artificielle Côte d’Azur (3IA Côte d’Azur) will offer a training course on AI and health. It will be aimed at healthcare professionals (doctors, pharmacists, medical physicists, etc.), students and researchers in biology and healthcare as well as biomedical engineers wishing to develop AI projects using medical data. The first class will follow this training in November 2021.

A university diploma on artificial intelligence applied to health

The 3IA Côte d’Azur, whose main focus is on digital health, has announced the launch of its new university diploma (DU) in Artificial Intelligence and Health. This initiative is part of the institute’s strategy, as Olivier Humbert, a doctor and professor of Nuclear Medicine & Biophysics at the Université Côte d’Azur, explains:

“At 3IA Côte d’Azur, in terms of digital health, we are working to bring together national and international experts and professionals from different disciplines to advance research. The Soph.I.A Summit, which will be held next November, is a good example of this. All together, let’s join the movement of a French start-up Nation and contribute to the evolution of the Medicine of tomorrow.”

With a total duration of 112 hours, this training includes 4 compulsory modules and 1 optional module, in a mode combining distance learning courses and face-to-face practical work:

  • Module 1: Health data – 21h (including 5h of TD). Acquire skills in regulatory and technical management of high-dimensional medical data from medical images, “omics” techniques and patient records.
  • Module 2: Fundamental Artificial Intelligence – 56h (including 24h of practical training). Learn to choose and use the most suitable algorithm for the question asked and the medical data of a project.
  • Module 3: Radiomics – 7h (including 3h of practical training). Production and statistical analysis of massive quantitative data extracted from medical images.
  • Module 4: Innovation and entrepreneurship – 14 hours. Initiating an entrepreneurial project and anticipating the scientific and medico-economic valorisation of solutions developed in medical AI (meetings with start-ups, SMEs, visits to incubators…).
  • Optional module: programming for data sciences – 14h. Develop skills (or refresh them) in Python and R programming languages, necessary for modules 2 and 3.

The training is aimed at health professionals (doctors, pharmacists, medical physicists…), students and researchers in health biology, biomedical engineers who wish to initiate and develop artificial intelligence projects using medical Big Data.

The main objective: to be part of the dynamics of tomorrow’s medicine

Olivier Humbert specifies all the appeal of AI in the world of health and medicine:

“Artificial intelligence allows, for example, an “in-depth” analysis of the medical image and the extraction of thousands of very fine information, not analysable by the eye of the radiologist. Far from being a threat to the medical profession, it represents an incredible opportunity, both in terms of precision and speed, to help analyse complex medical data on a given patient and, in the long term, to help choose the best therapeutic strategy for that patient. The DU Artificial Intelligence and Health is thus intended to train health professionals to understand this technology, its challenges and its limits, but also to handle massive medical data, big data, and Artificial Intelligence algorithms.”

During their training, participants will learn how to manipulate high-dimensional medical data (imaging, biology and textual data), how to use AI models and algorithms for the analysis of these data, how to value their innovative AI solutions in healthcare.

The emphasis of the DU will be on interdisciplinarity thanks to the involvement of high-level teachers from different fields: doctors from various specialties, mathematicians with expertise in machine learning and deep learning, data managers, researchers in image processing, etc. It will address methods of collaboration with industrial partners or the creation of start-ups, scientific and economic valorisation of the AI tools developed, as well as various issues such as intellectual property. Engineers from companies specialized in AI and health will participate in the DU.

Anyone wishing to apply must submit his or her application by October 15, 2021, and must have a bachelor’s degree. The first class will follow this training between November 2021 and April 2022.

Translated from Le 3IA Côte d’Azur lance une nouvelle formation autour de l’intelligence artificielle en santé et en médecine

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