Join the AI4LUNGS Workshop at IEEE BIBM 2026 in Dallas, Texas!
- 4 days ago
- 2 min read
AI is transforming healthcare, diagnosis and treatment of respiratory diseases are no different. The AI4LUNGS Workshop: AI-Based Personalised Care for Respiratory Disease Using Diverse Data Modalities for Patient Stratification, organised by INESC TEC, will bring together researchers and practitioners to explore the latest advances in AI-driven lung cancer research during IEEE BIBM 2026 in Dallas, Texas, USA.
What will the Workshop be about?
The workshop will focus on algorithmic innovation, deep learning architectures, multimodal learning frameworks, and scalable AI solutions that can support personalised patient care. By bringing together experts in medical imaging, biomedical signals, clinical data, and computational intelligence, the workshop aims to accelerate the development of robust and clinically meaningful AI applications.
Topics of Interest
Research topics included in the workshop, but not limited to:
Deep learning for lung cancer signal and image analysis
AI for medical imaging, including CT, PET, MRI, and digital pathology
Multi-omics learning using genomics, transcriptomics, and proteomics
Machine learning on clinical and real-world healthcare data
AI for physiological signals and longitudinal patient monitoring
Multimodal learning combining imaging, signals, and clinical information
Weakly supervised, semi-supervised, and self-supervised learning
Representation learning for medical data
Domain adaptation and generalisation in medical AI
Learning from limited, imbalanced, or partially labelled datasets
Robustness, uncertainty estimation, and model calibration
Continual learning and efficient AI training strategies
Generative AI for synthetic medical data generation and data augmentation
Important Dates
Researchers interested in contributing should note the following deadlines:
September 27, 2026 – Full paper submission deadline
October 18, 2026 – Notification of acceptance
November 8, 2026 – Camera-ready papers due
December 1–4, 2026 – AI4Lungs Workshop at IEEE BIBM 2026
Paper Submission
Authors are invited to submit full-length papers of up to 8 pages using the IEEE two-column format.
Submissions are double-blind and should exclude author names and affiliations. Accepted workshop papers will be published in the official IEEE Computer Society Conference Proceedings.
Join the AI4Lungs Community
Whether your research focuses on medical imaging, multimodal AI, biomedical signals, clinical data, or next-generation machine learning techniques, AI4Lungs provides an opportunity to share your work, engage with leading experts, and contribute to the future of personalised respiratory disease care.
Registration is now open. When registering for IEEE BIBM 2026, select:
"AI4Lungs: Workshop on AI-Based Personalised Care for Respiratory Disease Using Diverse Data Modalities for Patient Stratification."
We look forward to welcoming researchers, clinicians, and AI innovators to Dallas for an exciting exchange of ideas that will help shape the future of AI in respiratory healthcare.
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