Welcome to the 2025 AI4Health Summer School!
June 30th – July 3rd, PSL University & Online
This 4th edition will kick off with a non-technical first day, presenting health innovation deployment with world-renowned institutions, followed by 3 days of advanced training courses and hands-on sessions with elite researchers.
Registrations for any on-site participation: closing April 18th
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Registrations for online participation: closing June 20th
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1 day of non-technical keynotes and round-tables led by world-renowned researchers and hospitals innovation representatives, providing a comprehensive overview on AI in healthcare.
Accessible on-site and online.
3 days of scientific and practical learnings: comprehensive scientific courses in the morning and their hands-on practical sessions in the afternoon.
On-site only.
The 2025 AI4Health Summer School
This edition is organized by the Paris Artificial Intelligence Research Institute (PR[AI]RIE) and the Health Data Hub, in the heart of Paris at Universitรฉ Paris Sciences & Lettres from June 30th to July 3rd.
What to expect:
- First day featuring keynotes and round tables led by world-renowned researchers and hospital innovation representatives, offering attendees a comprehensive understanding of the technological, scientific, and societal dimensions of health AI
- Three days deep-diving into vision-language models, causal inference, deep learning and systems thinking, providing participants with both theoretical foundations and practical experience in applying AI to diverse healthcare challenges
Who will be there:
- Hospital innovation representatives: Cleveland Clinic (๐บ๐ธ), Charitรฉ Clinic (๐ฉ๐ช), Karolinska University Hospital (๐ธ๐ช), Sheba Medical Center (๐ฎ๐ฑ), Mayo Clinic (๐บ๐ธ), AP-HP Greater Paris Hospital (๐ซ๐ท)
- Elite Research Institutions: MIT (๐บ๐ธ), Harvard Medical School (๐บ๐ธ), University of Dresden (๐ฉ๐ช), Technion Institute (๐ฎ๐ฑ), PR[AI]RIE (๐ซ๐ท)
- Key players: Doctolib, Nabla, CPRD, and many more to come
All the speakers will be in Paris, and the sessions will be held in English
Who can be interested:
The first day will target a broad audience (industries, healthcare professionals, public institutions) while the three-day course will be aimed mainly at students (engineers, health-data, masters, doctoral students), post-docs, academics, industries, start-ups and members of public institutions.
How to attend:
- Online participation for the first day only
- On-site participation for the first day only
- On-site participation for the four days
- Online participation for the first day and on-site participation for the last three days
A replay of plenary lectures will be available after the end of the lecture for all the participants.