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      • 1. Stakeholder’s Connect
        • 1.1 Clinician’s forum
        • 1.2 Healthcare leaders
        • 1.3 AI Innovators & Developers
        • 1.4 Policy, Regulatory experts
        • 1.5 IT & Infrastructure Management
        • 1.6 Industry & Solution Providers
        • 1.7 Patients & Caregivers
      • 2. AI Adoption Cycle
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        • 3.2 Data Governance & Security
        • 3.3 Regulatory Landscape
        • 3.5 Standards and Best Practices
      • 4. Clinical Domains
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        • 4.2 Surgical AI
        • 4.3 Diagnostic Imaging AI
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        • 4.7 Public & Population Health
        • 4.8 Hospital System Operations
      • 5. Academics
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        • 5.2 Grant & Funding Opportunities
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        • 5.5 Research Methodologies & Tools
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        • 6.3 Implementation & Consultancy Partners
        • 6.4 Medtech, Pharma & Device Innovators
        • 6.5 Responsible Industry Practices
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        • 7.2 Disruptive Innovations
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    Group logo of 7.2. | Disruptive Innovations

    7.2. | Disruptive Innovations

    Public Emerging and Future Trend

    Public Emerging and Future Trend

    Active 3 months ago

    Purpose: Exploring transformative AI applications that redefine healthcare boundaries, such... View more

    Public Emerging and Future Trend

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    Group Description

    Purpose: Exploring transformative AI applications that redefine healthcare boundaries, such as nanomedicine, digital twins, brain-computer interfaces, or highly autonomous AI systems.

    Description: This subgroup is for visionary discussions about truly revolutionary AI concepts that have the potential to fundamentally change healthcare delivery, research, and patient experiences in the long term.

    Intended Use: For brainstorming radical new AI applications, discussing long-term societal impacts, and identifying emerging technologies that could converge with AI to create paradigm shifts.

    Limitations: Highly speculative, not focused on current implementation challenges.

    Key Activities: Discussing the potential of AI-powered nanobots for targeted drug delivery, exploring the concept of “digital twins” for personalized medicine, debating the future of highly autonomous AI in surgery.

    Potential Users: Academic/Researcher, AI Innovator/Developer, Healthcare Leader/Administrator, Students.

    Possible Discussions: “The ethical implications of brain-computer interfaces in healthcare,” “Predicting the impact of AI-powered CRISPR technology on disease eradication,” “How will AI-driven personalized prevention reshape public health in 50 years?”

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