Welcome to the 2023 AI4Health Summer School!

With three days of plenary lectures (July 3rd-5th) led by international experts accompanied by two days of hands-on practical sessions (July 6th and 7th), the summer school will cover the latest advances in the field of artificial intelligence applied to health.

Registrations for on-site participation: closing May 8th

Day(s)

:

Hour(s)

:

Minute(s)

:

Second(s)

Registrations for on-line participation: closing June 19TH

Day(s)

:

Hour(s)

:

Minute(s)

:

Second(s)

The 2023 AI4Health Summer School

The summer school AI4Health is organized by the French Health Data Hub, as well as France’s leading AI research institutions: MIAI Grenoble (Grenoble), 3IA Cote d’Azur (Nice) and PRAIRIE (Paris).

AI4Health will be held in a hybrid format, both online and in person. Participants will be able to choose between :

  • in-person participation: at PariSanté Campus in Paris (up to 140 people), access to the 5 days of the event (plenary lectures + practical sessions)
  • remote participation: access to the first 3 days only (plenary lectures only)
  • a specific registration to attend the opening ceremony and introductory sessions on-line and free-of-charge will also be offered

All speakers will be on site, and all lectures will be taught in English.

A replay of a plenary lecture will be made available shortly after the end of the lecture.

The school is aimed at students (first/second year masters, PhD), post-docs, academics, members of public institutions, and professionals. On-site participants are required to have basic knowledge in machine learning (Python or any other language). Indeed, this will be necessary to attend and benefit from the practical sessions.

3 days of plenary lectures on selected topics presented by leading experts in the field. Accessible for participants on-site and remotely.
A poster session to present your research and discuss it in person with your peers. For on-site participants only.
2 days of in-depth, hands-on practical sessions in smaller groups. Accessible only for on site participants.
Networking opportunities for all, with leaders from academia, public institutions and companies in AI for health.