Useful information
The AI4Health Summer School is an international event that will be held in English
Pratical Information
Dates
- July 3rd to 7th at PariSanté Campus for on-site participants
- July 3rd to 5th online for people participating remotely
Venue
- The event will take place in PariSanté Campus, 2-10 Rue d’Oradour-sur-Glane, 75015 Paris
- Registration desks will be located at the entrance of the hall
- The program with the names of the rooms where the sessions will take place will be distributed on site
- Poster sessions and catering will take place in the main Hall
- Lunches and coffee break are included on-site
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- Paris can be reached by train or plane.
Airports: Paris, Charles De Gaulle (CDG), Paris Orly (ORY). - Public transports:
- T2 tramway station « Porte d’Issy »
- T3a tramway station « Desnouettes »
- Metro 12 station « Porte de Versailles »
- Metro 8 station « Balard »
- RATP buses 39, 80 et 169
- Taxi:
Your driver can drop you off in front of the building entrance. - Bike:
A network of bicycle paths connects PariSanté Campus directly to Paris intra-muros, Boulogne-Billancourt and Issy-les-Moulineaux.
A few bicycle docks are available in front of the building’s parking barrier, on the left side of the façade.
- Paris can be reached by train or plane.
Program
● 3 introductory keynotes: one-hour plenary conference on Artificial Intelligence related topics.
● 4 courses: two or three-hours plenary lectures on a specific Artificial Intelligence topic. It will start from scratch, with really simple notions regarding the topic, to finally reach a nearly state of the art approach at the end of the class, with lots of insights on applications to health issues.
● 5 use cases: one-hour plenary lectures on practical subjects of Artificial Intelligence applied to health: from idea to deployment.
● 7 practical sessions: 2 x three-hours courses with coding sessions (in groups of 20-25 participants on-site) around Artificial Intelligence algorithms and health data.
● 1 poster session: for the on-site participants only. A prize of 500€ will be given to the best poster chosen by the AI4Health scientific committee.
Please note that for each plenary lecture, a replay will be made available shortly after the end of the lecture.
The Opening ceremony as well as the 3 introductory sessions will be accessible for free, upon registration.
The school is aimed at students (first/second year masters, PhD), post-docs, academics, members of public institutions, and professionals.
For on-site participants, basic knowledge in machine learning (using Python or any other language) is required as this is necessary to attend the practical sessions.
Poster abstract guidelines
AI4Health offers on-site participants the opportunity to submit poster abstracts during the registration process. These will be reviewed by the AI4Health scientific committee. Let us point out that submitting a poster is not required to register on-site, however it is encouraged.
The abstract cannot be longer than 350 words (excluding authors and affiliations). All abstracts must include a title, a full list of authors and affiliations.
You may submit your abstract until the on-site registration closes, on May 8th, 2023. The selection committee will then review all applications. If your application to participate on site is accepted and if your abstract is selected, you will be able to present and discuss your work in a poster session with other on-site participants and experts. You will be required to print your poster (A0 in portrait orientation) and bring it on-site the day before the poster session.
A prize of 500€ will be given to the best poster chosen by the AI4Health scientific committee.
Please note that you cannot apply for the poster session if you register to participate remotely.