The Artificial Intelligence Task Force promotes the development, validation and application of AI methods for MRI-based glioma and brain tumour analysis. By bringing together researchers, clinicians and data scientists, the task force supports innovation in tumour characterisation, treatment monitoring and quantitative image analysis.

Through benchmarking initiatives, multi-site collaboration, data standardisation and the development of explainable AI approaches, the task force aims to accelerate the reliable and trustworthy translation of AI technologies into both research and clinical practice.

Goals

• Developing Advanced AI Algorithms: create and refine AI models for glioma characterisation, diagnosis and treatment monitoring.
• Facilitating Multi-Site Data Integration: integrate AI models into multi-site data platforms, ensuring standardised data structures and compliance with GDPR and BIDS.
• Benchmarking and Validation: develop a framework for benchmarking AI models against diverse datasets to confirm reliability and accuracy in clinical settings.
• Promoting Clinical Translation: implement AI-driven MRI analysis in clinical settings, enhancing diagnostic accuracy and patient monitoring.
• Advancing Explainability and Trustworthiness: focus on explainable AI methods that make MRI-based AI decisions interpretable for clinicians.
• Engaging Stakeholders: involve stakeholders in the development and application of AI models, addressing ethical considerations and promoting acceptance.
• Providing Training and Education: offer training programmes to educate researchers and clinicians on AI applications in MRI.

Leader

Elies Fuster-Garcia

Universitat Politècnica de València • Valencia, Spain

Saritha Unnikrishnan

Atlantic Technological University (ATU) • Sligo, Ireland

Contact

Interested in artificial intelligence, machine learning, data analysis or collaborative projects in glioma and brain tumour imaging? We welcome new ideas, expertise and collaborations.

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