The Clinical AI Solutions Event was created to fill an important gap: to create a platform where students, professionals and technology enthusiasts can explore the transformative impact of artificial intelligence on medicine. In an era where AI is changing diagnostics, treatment and healthcare, promoting education and collaboration is essential.
The event brings together academia, healthcare and the technology sector through workshops, panel discussions and lectures, enabling participants to solve real medical challenges. A key element of the program are student-led sessions that give young innovators the opportunity to present ideas, get feedback from experts and build valuable connections. The conference supports collaboration to shape the future of AI-based healthcare.
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Join us for an engaging and inspiring event full of lectures, workshops and panel discussions.
Anyone interested in the application of Artificial Intelligence in clinical and biomedical research is welcome to attend the conference, including students, early-career researchers, clinicians, and specialists in medicine, health sciences, biomedical technologies, and AI.
Certificates (both Presentation Certificate for active participants and Participation Certificate for passive participants) will be sent electronically after the conference ends (i.e. after May 24, 2025). Please note that the Participation Certificate for passive participants will be issued only upon request.
You will receive notification about abstract acceptance or rejection via email no later than May 12, 2025 at 23:59 (UTC+01:00).
Registration is available through the online form
on the official conference website: https://caseconference.pl
Registration (for both active and passive participants) is open from
March 23, 2025 until May 5, 2025 until 23:59 (UTC+01:00).
Yes. Although only the first author can present, all co-authors can participate in the discussion following the presentation.
Yes, provided your abstract is accepted and all required License Agreements
(with original signatures of all authors and co-authors) are submitted
correctly and on time. Specifically, you must:
1. Provide two printed, signed copies of the License Agreement according
to the template (CC-BY-NC-SA license).
2. Deliver or mail these copies to the organizers by May 24, 2025.
3. Submit a scanned version of the signed agreement to
participants@caseconference.pl by May 9, 2025 for verification.
If any co-author fails to meet these requirements or misses
the agreement signing deadlines, your work may not be included in the Book
of Abstracts.
Of course. Passive Participants can join all scientific sessions (as listeners), discussion panels, lectures and workshops (depending on availability).
You can contact the Organizing Committee using:
● Contact form on the official website: https://caseconference.pl
● Email address: participants@caseconference.pl
Each active participant can submit a total of three abstracts.
No. Participation in the conference is free, no fees are charged.
Abstracts can be submitted from March 23, 2025 until May 5, 2025 until 23:59 (UTC+01:00).
Participants presenting online must ensure a stable internet connection, a working microphone and a working camera. It is recommended to join the meeting at least 10 minutes before the scheduled presentation time to verify technical aspects.
Yes, every active participant in on-site mode will receive a welcome package at the beginning of the Conference.
We accept the following types of works for CASE 2025 scientific sessions:
● Review articles
● Original research
● Case reports
The topics of CASE 2025 scientific sessions include:
● Medical diagnostics – Modern diagnostic methods
● AI solutions in healthcare – Revolution in medicine thanks to artificial intelligence
We thank our sponsors, partners and patrons for their support.
The Clinical AI Solutions Event conference is organized by a team full of passion and dedication. Meet the people behind this unique event:
Our team is committed to creating a platform for innovation, research and collaboration in the field of artificial intelligence in medicine.
