Conference Information
ISIH 2024: International Conference on Intelligence, Sustainability, and Innovation in Healthcare
https://confscience.com/isih/
Submission Date:
2024-07-31 Extended
Notification Date:
2024-09-01
Conference Date:
2024-10-30
Location:
Roanne, France
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Call For Papers
Authors are invited to submit full papers describing original research works in areas including, but are not limited to:

    Track 1: AI for Healthcare
    Chair: Filippo Grassia (France)

    AI methods for medical device testing
    Algorithms and computational methods
    Predicting and monitoring infectious disease
    Machine learning for healthcare
    Intelligent computational methods
    Medical data and image analysis
    Data quality assessment and improvement
    Electronic medical records analysis
    Big data models, theories, and algorithms
    Deep Learning for healthcare
    Natural Language Processing
    Screening and diagnosis
    Explainable AI for healthcare
    Multiagent systems for healthcare
    AI-based simulations
    Bio-inspired solutions for healthcare
    Smart healthcare
    Resilience and robustness
    Medical edge computing

    Track 2: Innovation and Connectivity 
    Chair: Lama Hamandi (USA)

    Remote healthcare management
    Emergent healthcare infrastructure
    Industry Revolution 4.0 for healthcare
    Emergent communication technologies
    IoT-based disease surveillance
    Prevention and detection systems
    Rehabilitation technologies
    Wearable health informatics
    Remote Ambient Assisted Living
    5G for healthcare
    Healthcare supply chain and logistics
    Telemedicine and Mobile systems  
    Communication protocols for data sharing
    Drones and robots for healthcare
    Internet of Medical Things
    Medical embedded systems
    Cyber-Physical Systems for healthcare
    Network and services virtualization
    Nanoscale healthcare

    Track 3: Human Computer Interaction
    Chairs: M. Diab | S. Maher (Lebanon) 

    Human-Machine Interaction
    Methods for inputting data for e-health
    Models for human-device interaction
    Model-based design and configuration tools
    New experimental validation methods
    Standardization, certification, and labeling
    Communication and interoperability
    Regulation compliant services (e.g., HIPAA)
    Socio-economic issues
    Feedback integration  
    Accessibility
    Personalization and patient experience
    Augmented/Virtual Reality solutions
    Voice recognition
    Enhanced Living Environment (ELE)

    Track 4: Sustainable Healthcare 
    Chairs: A. Amraoui | S. Kharraja (France)

    Green healthcare facilities
    Renewable energy integration in healthcare
    Waste reduction and recycling
    Carbon footprint reduction
    Sustainable supply chain management
    Eco-friendly medical equipment and devices
    Sustainable health practices
    Educational initiatives
    AI approaches for sustainable healthcare
    Innovations for sustainable healthcare
    AI approaches for global health equity
    Quality of Service
    Quality of Experience

    Track 5: Applications and Trends
    Chair: Karima Outafraout (Germany)

    Network and services virtualization
    Software-Defined Networking (SDN)
    Bioinformatics
    Clinical Decision Support Systems
    Interoperability for personal Health systems
    Medical imaging
    Evidence-based medicine
    Blockchain applications
    Smart health and big data
    Health Information exchange solutions
    Medical and patient scheduling software
    Medication administration systems
    Healthcare information systems
    Integration and interoperability
    Medical records
    Clinical reporting systems
    eHealth services
    Robotics and Automation in Healthcare
    Augmented and Virtual Reality in Healthcare

    Track 6: Ethics and Security 
    Chair: Yehya Mohamad (Germany)

    Ethics in AI-assisted diagnostics
    Patient consent and data privacy
    Bias and fairness in AI algorithms
    Transparency in AI Decision-Making
    Doctor-patient trust and communication
    Security concerns in AI-enabled healthcare
    AI healthcare technologies and equity
    AI-generated medical insights
    Innovation and patient privacy rights
    Predictive modeling and informed consent
    Social implications of AI in healthcare
    Ethics in AI-enhanced patient treatment
    Patient empowerment
    Ethics in AI-integrated medical research
    Data Security and Protection
    Cybersecurity in healthcare
    Future directions in data protection 
Last updated by Dou Sun in 2024-07-30
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