Full Papers
8-page limit plus up to 2 extra pages for references only; no presentation video required.
Multimedia/CORE Unranked
MCHM'26 2026
The 3rd International Workshop on Multimedia Computing for Health and Medicine (ACM MM 2025)
Nov 10 2026Official workshop site Site reachable
The 3rd International Workshop on Multimedia Computing for Health and Medicine (MCHM'26) is co-located with ACM Multimedia 2026 in Rio de Janeiro, Brazil. It focuses on multimedia computing techniques—including mobile and hardware solutions—for healthcare applications, leveraging AI and deep learning to analyze multimodal medical data such as images, video, audio, and text for diagnosis, monitoring, and decision support.
Key deadlines
Verified September 9, 2026Full paper
July 16, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
July 16, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short Papers
4-page limit plus 1 extra page for references only; no presentation video required.
Demos
Submissions contributing to the workshop's themes, accepted alongside papers.
Datasets
Submissions contributing to the workshop's themes, accepted alongside papers.
Position Papers
Submissions contributing to the workshop's themes, accepted alongside papers.
Research areas in scope
01
Topics
Digital twins for health and medicineDigital persons for health and medicineDeveloping better deep learning-based debugging methods and toolsIntelligent medical and health systemsNovel theories and methods of deep learning for medical imagingDrug discovery with deep learningPandemic (e.g., COVID-19) management with deep learningHealth and medical behavior analytics with deep learningMedical visual question and answeringUn/self/semi/weakly/fully-supervised medical data (text/images)Graph learning on medical data (text/images)Generating diagnostic reports from medical imagesFewer labels in clinical informaticsSummarization of clinical informationKnowledge transfer under various clinical environmentsMultimodal medical image analysisMedical image registrationOrgan and lesion segmentation/detectionImage classification with MRI/CT/PETMedical image enhancement/denoisingLearning robust medical image representation with noisy annotationPredicting clinical outcomes from multimodal medical dataAnomaly detection in medical imagesActive learning and life-long learning in medical computer visionUser/patient psychometric modeling from video, image, audio, and textMedical foundation models (FMs)Transfer learning and model fine-tuning for medical dataActivity detection or recognition of medical sequential data (e.g., surgical videos, EEG)Sequential pattern recognition of medical data (e.g., surgical videos, EEG, MRI/CT)Image/video/language/audio decoding from medical data (e.g., MRI and EEG)Medical dataset and benchmark contributionMedical data synthesisMedical data augmentationModel robustness in medical data analysisModel trustworthiness and explainability in medical data analysisEthical considerations on AI for medical data analysis
Policies worth checking twice
- Submissions must adhere to ACM Multimedia 2026 formatting guidelines.
- Papers undergo a rigorous peer-review process.
- Accepted papers will be included in the ACM Digital Library.
- Full papers: 8 pages + 2 reference pages maximum.
- Short papers: 4 pages + 1 reference page maximum.
- No presentation video required for any submission type.
- Submissions must be original and not under review elsewhere.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026