ICBHI 2026: 20. International Conference on Brain and Health Informatics

Brain Informatics (BI)
Adaptation and self-organization
Brain dynamics and functional/resting/structural brain networks
Cognitive architectures; their relations to fMRI/EEG/MEG
Emotion, heuristic search, information granularity, and autonomy related issues in human reasoning and problem solving
HIPS meets complex systems
Human higher cognitive functions and their relationships
Human learning mechanisms (e.g., stability, personalized user/student models) * Human learning mechanisms (e.g., stability, personalized user/student models) * Human learning mechanisms (e.g., stability, personalized user/student models)
Human multi-perception mechanisms and visual, auditory, and tactile information processing
Human reasoning mechanisms (e.g., principles of human deductive/inductive reasoning, common-sense reasoning, decision making, and problem solving)
Investigating spatiotemporal characteristics and flow in HIPS and the related neural structures and neurobiological process
Methodologies for systematic design of cognitive experiments
Modeling brain information processing mechanisms (e.g., neuro-mechanism, mathematical, cognitive and computational models of HIPS)
Neural Basis of Decision-Making
Neural Foundations of Intelligent Behaviorata
Cyber-individuals meets brain informatics
Data brain modeling and formal conceptual models of human brain data
Databasing the brain, curating big data and constructing brain data centers
Developing brain data grids and brain research support portals
Human brain data collection, pre-processing, management, and analysis
Information technologies for simulating brain data
Knowledge representation and discovery in neuroimaging
Measuring scale threshold of BI big data
Modeling brain information-processing mechanisms
Modeling molecular imaging and multimodal neuroimaging
Multi-aspect analysis in fMRI/EEG/MEG activations
Multi-media brain data mining and reasoning
Multimodal information fusion for brain image interpretation
Simulating spatiotemporal characteristics and flow in HIPS
Statistical analysis and pattern recognition in neuroimaging
Brain/Cognition inspired artificial systems
Brain-Computer-Interface (BCI)
Clinical diagnosis and pathology of human brain and mind-related diseases (e.g. mild cognitive impairment (MCI), Alzheimer disease (AD), depression, epilepsy, parkinson and cerebral palsy)
Digit, data, and computational Brain
e-Science, e-Health and e-Medicine
Eye-tracking meets fMRI/EEG for human-computer interaction
Neuroeconomics, neuromarketing, neurolinguistics, neurosemantics, and neuroinstrumentation
New cognitive and computational models for intelligent systems Non-verbal communication

Health Informatics (HI)
Consumer health and wellness informatics applications
Health informatics education
Healthcare delivery in developing countries
Healthcare workflow management
Information technologies for alternative medicine
Information technologies for healthcare service delivery
Information technologies for hospital management
Information technologies for the management of patient safety and clinical outcomes
Medical compliance automation for patients and institutions
Organizational impacts of health information technologies
Public health informatics
Social networks, social media and e-learning for spreading health informatics awareness
Social studies of health information technologies
Technology informatics guiding educational reform
Telecare and Telemedicine
Virtual conferencing systems for healthcare
Biomedical modeling and simulation
Business intelligence and data warehousing for healthcare
Cognitive and decision support systems
Computational intelligence methodologies for healthcare
Computational support for patient-centered and evidence-based care
Computer support for surgical intervention
Computer-aided diagnosis
Disease diagnostic models
Disease prognostic models
Epidemiological modeling
Health risk evaluation and modeling
Healthcare knowledge abstraction, classification, and summarization
Healthcare knowledge computerization, execution, inference, management, and representation
Medical recommender systems
Operations research methods for healthcare
Optimization models for planning and recommending therapies
Personalized predictive modeling for clinical management (e.g., cancer, trauma, diabetes mellitus, sleep disorders, substance abuse)
Physiological modeling
Analytics for clinical care
Biomarker discovery and biomedical model development
Biomedical data mining
Biomedical pattern recognition
Cleaning, pre-processing, and ensuring quality and integrity of medical data
Data analytics for healthcare quality assurance
Healthcare workflow mining
Large-scale longitudinal mining of medical records
Medical insurance fraud detection
Medical signal analysis and processing
Natural language processing and text mining for biomedical literature, clinical notes, and health consumer texts
Semantic Web, linked data, ontology, and healthcare
Statistics and quality of medical data
Survival analysis and health hazard evaluations
Visual analytics for healthcare