1st International AI Revolution in Healthcare: Opportunities and Challenges Event
Schedule:
8:00 AM – 9:00 AM: Registration and Welcome Breakfast
9:00 AM – 9:30 AM: Opening Keynote: “AI in Healthcare: A New Era of Medicine”
9:30 AM – 10:30 AM: Session 1: “Emerging AI Technologies in Healthcare”
10:30 AM – 11:00 AM: Coffee Break
11:00 AM – 12:00 PM: Panel Discussion: “Ethical Implications of AI in Healthcare
12:00 PM – 1:00 PM: Networking Lunch
1:00 PM – 2:00 PM: Session 2: “Case Studies: Successful AI Integration in Clinical Settings”
2:00 PM – 3:00 PM: Workshop: “Navigating Data Privacy and Security in AI-Enabled Healthcare”
3:00 PM – 3:30 PM: Afternoon Tea Break
3:30 PM – 4:30 PM: Session 3: “Patient-Centric AI: Enhancing Patient Care and Experience”
4:30 PM – 5:00 PM: Closing Keynote: “The Future Landscape of AI in Healthcare”
5:00 PM – 6:00 PM: Closing Reception and Networking
All presentations and activities are subject to change.
The Objective of the Workshop<strong>:</strong>
To explore the current state and future possibilities of AI in healthcare.
To address the ethical, legal, and practical challenges associated with AI in healthcare.
To showcase real-world case studies and success stories.
To facilitate networking and collaboration among healthcare and AI professionals.
To provide insights into patient-centric AI applications.
Who Should Attend?
Healthcare professionals (doctors, nurses, administrators)
AI and Machine Learning experts
Health informatics specialists
Medical researchers and academicians
Healthcare policymakers
Technology entrepreneurs and innovators in the health sector
Why Attend these Seminars?
To gain a comprehensive understanding of AI’s impact on healthcare.
To learn about the latest trends and developments in AI for healthcare.
To engage in meaningful discussions about ethical considerations.
To network with peers and experts in the field.
To discover new ways to incorporate AI into healthcare practices.
Benefits of Attendance:
Enhanced knowledge of AI applications in healthcare.
Insights into overcoming challenges associated with AI integration.
Opportunities for networking and collaboration.
Learning from real-life case studies and expert experiences.
Keeping abreast of the latest trends and innovations.
Proposed themes and topics for deliberation include, but are not limited to:
AI-driven diagnostic tools and their accuracy.
Ethical considerations in AI healthcare applications.
AI in telemedicine and remote patient monitoring.
Data privacy and security in AI-based healthcare systems.
The role of AI in pandemic response and management.
AI in surgical robotics and procedures.
Integration of AI in electronic health records (EHRs).
AI in mental health: Opportunities and challenges.
AI’s impact on healthcare workforce and training.
AI in drug discovery and pharmaceutical research.
Predictive analytics in patient care management.
AI and personalized medicine.
The role of AI in healthcare policy making.
Overcoming barriers to AI adoption in healthcare.
AI in medical imaging and radiology.
Blockchain technology in AI healthcare solutions.
AI for health data analysis and population health management.
The future of AI in geriatric care.
AI in healthcare: Global perspectives and initiatives.
Ethical AI: Ensuring fairness and equity in healthcare delivery.
