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May, 2026
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AIMed 2026 - Artificial Intelligence in Medicine 2026 (MICCAI-Endorsed event)
May. 7 - 9, 2026
Kraków, Poland
May 7-9, 2026
http://www.aimedicine.one/ -
Notice of Intent to host MICCAI 2029 and MICCAI 2030 due date
Fri, May. 8, 2026
Bid proposals are invited to host the MICCAI Conference in 2029 in Abu Dhabi or MICCAI 2030 which, according to the agreed rotation between continents, will be held in Area 2: Europe, Middle East, Africa.
Notice of Intent due May 8, 2026
https://miccai.org/index.php/events/upcoming-conferences/bid-proposals/
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RISE-MICCAI Journal Club
Sat, May. 9, 2026
Modeling DINO Embeddings for Fast and Efficient Unsupervised Anomaly Detection in Medical Imaging
Presenting author: Nico Schulthess, Biomedical Image Computing Group at ETH Zürich
12:00 pm EDT / 4:00 pm UTC
Register:
https://us02web.zoom.us/webinar/register/WN_wwg6sUs5QzO8E3Rco8i0lg -
Applications close for MICCAI Society Registration Grants
Sun, May. 17, 2026
Each year, researchers and scientists are eligible to receive financial support to attend the annual MICCAI conference. Applications for the Registration and Travel Grants are now being accepted!
Information here:
https://miccai.org/index.php/news/2026/05/08/accepting-applications-for-miccai-2026-registration-and-travel-grants -
MICCAI Industry Talk:
Mon, May. 18, 2026
Accelerating development and deployment of the Full-Body Organ Analysis app with agentic AI on AWS
8:00 am EDT / 2:00 pm CEST / 8:00 pm CST
The Institute for Artificial Intelligence in Medicine (IKIM) at University Hospital Essen is redefining clinical AI innovation. Their Smart Hospital Information Platform (SHIP) team built a whole-body organ analysis tool combining deep learning for automated organ segmentation with generative AI for interactive reporting on AWS in under 72 hours. In this talk, we will explore how AI-accelerated cloud-native development on AWS, translating AI research into clinical tools. We will explore the architectural design and decisions driving rapid prototyping and show-case results in a live demo. The output can be re-used by any healthcare institution looking to move fast when building their own solutions on AWS.
Speakers:
Dr. Christoph Russ, Tech Business Development Manager for Healthcare, Amazon Web Services (AWS)
Dr. René Hosch, Lead AI & Data Science, SHIP AI / IKIM, University Hospital Essen
Justin Woolley, Full-Stack Developer, SHIP AI / IKIM, University Hospital Essen
Register: https://us02web.zoom.us/webinar/register/WN_VxoEZUfAQsaLny7fqNR1bw