๐ Call for Participation: ๐ ๐๐๐๐ค๐-๐๐ข๐ฅ๐ @ ๐๐๐๐ ๐ฎ๐ฌ๐ฎ๐ฒ | ๐ ๐๐น๐๐ถ๐บ๐ผ๐ฑ๐ฎ๐น ๐ฅ๐ฒ๐ฎ๐๐ผ๐ป๐ถ๐ป๐ด & ๐ฅ๐ฒ๐ฐ๐ผ๐ป๐ฐ๐ถ๐น๐ถ๐ฎ๐๐ถ๐ผ๐ป ๐ถ๐ป ๐ฅ๐ฒ๐ฎ๐น-๐ช๐ผ๐ฟ๐น๐ฑ ๐๐น๐ถ๐ป๐ถ๐ฐ๐ฎ๐น ๐ช๐ผ๐ฟ๐ธ๐ณ๐น๐ผ๐๐
We're excited to introduce the MEDIQA-CORE 2026 shared tasks, focused on advancing clinically grounded multimodal AI models built for real-world clinical workflows and evaluated on real clinical data.
๐น ๐๐๐ฌ๐ค ๐: ๐๐ซ๐๐ข๐ง ๐๐ฎ๐ฆ๐จ๐ซ ๐๐ฎ๐๐ญ๐ฒ๐ฉ๐ ๐๐ฅ๐๐ฌ๐ฌ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง
Develop models that combine brain MRI images, H&E pathology slides, and pathology reports to predict tumor subtypes while being robust to missing modalities, reflecting how data actually becomes available in clinical practice.
๐น ๐ง๐ฎ๐๐ธ ๐ฎ: ๐ฅ๐ฎ๐ฑ๐ถ๐ผ๐น๐ผ๐ด๐ ๐ฅ๐ฒ๐ฝ๐ผ๐ฟ๐ ๐๐ถ๐๐ฐ๐ฟ๐ฒ๐ฝ๐ฎ๐ป๐ฐ๐ ๐๐๐๐ฒ๐๐๐บ๐ฒ๐ป๐
Build multimodal systems that analyze 3D abdominal CT scans, preliminary radiology reports, and candidate report edits to assess image-text agreement, clinical severity, and discrepancy type, simulating real radiology review workflows.
Huge thanks to our collaborators at the University of Washington, especially Meliha Yetisgen, and
@KurtLabResearch for their hard work in preparing the data usage agreements to make participant access possible.
And many thanks to the
@imageclef organizers,
@henmueller1 and Cristian Stanciu, and Bogdan Ionescu for their continued support!
We're looking forward to seeing the community's ideas and participation!
๐ ๐ช๐ฒ๐ฏ๐๐ถ๐๐ฒ:
imageclef.org/2026/medical/mโฆย
๐ฉ ๐๐ผ๐ป๐๐ฎ๐ฐ๐: mediqa.organizers@gmail.com
๐ ๐๐๐๐ค๐ ๐ ๐ฎ๐ถ๐น๐ถ๐ป๐ด ๐๐ถ๐๐:
groups.google.com/g/mediqa-nโฆ
๐
๐๐ฒ๐ ๐๐ฎ๐๐ฒ๐:
โฆ๏ธ Registration closes: ๐๐๐ซ๐๐ก ๐๐, ๐๐๐๐
โฆ๏ธ Test set release: April 23, 2026
โฆ๏ธ Run submission deadline: May 7, 2026
โฆ๏ธ Paper submission deadline: May 28, 2026
โฆ๏ธ CLEF 2026 Conference: September 21-24, 2026 (Jena, Germany)
๐ง๐ฎ๐๐ธ ๐ญ ๐ข๐ฟ๐ด๐ฎ๐ป๐ถ๐๐ฒ๐ฟ๐:
โข Asma Ben Abacha, Microsoft
โข Wen-wai Yim, Microsoft
โข Daniel K Low, University of Washington, Kurtlab
โข
@Juampablo_24, University of Washington, Kurtlab
โข Mehmet Kurt, University of Washington, Kurtlab
โข Jake Ruzevick, UW Medicine, Neurosurgery
โข Daniel D. Child, UW Medicine, Pathology
๐ง๐ฎ๐๐ธ ๐ฎ ๐ข๐ฟ๐ด๐ฎ๐ป๐ถ๐๐ฒ๐ฟ๐:
โข Asma Ben Abacha, Microsoft
โข Wen-wai Yim, Microsoft
โข
@ZhaoyiSun6, University of Washington
โข Meliha Yetisgen, University of Washington
โข Fei Xia, University of Washington
#MEDIQA #ImageCLEF #CLEF2026 #SharedTask #MultimodalAI #ClinicalAI #MedicalImaging #Radiology