Artificial Intelligence and Machine Learning in Telemedicine
Context: AI and ML are reshaping telemedicine, offering new opportunities to enhance diagnostic accuracy, personalize care, and optimize system efficiency. However, applying AI responsibly in health settings demands thoughtful design, ethical safeguards, and practical understanding.
Objectives: This webinar will bring together experts and thought leaders to discuss use of AI/ML in telemedicine, highlight current real-world use cases and innovations and explore ethical, regulatory, and technical considerations for AI integration.. The event will showcase lessons learned from various telemedicine initiatives in the South East Asia region, with a focus on sustainable, scalable, and community-centric models.
Expected Outcomes By the end of the session, participants will:
- Gain a foundational understanding of how AI and ML are being applied in telemedicine.
- Understand why do we need AI and ML in telemedicine in order to address key challenges in the sustainability and scalability of telemedicine programs.
- Learn from case studies of AI-driven telemedicine solutions in LMICs.
- Understand the risks, limitations, and ethical challenges of using AI in healthcare.
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Dr. Saif Khairat Professor of Digital Health and AI, Director of Center for ViVE at UNC Chapel Hill |
Ms. Divya Kamerkar Co-Founder and CEO, Pinky Promise Pvt. Ltd |
Dr. Neha Verma Co-Founder and CEO, Intelehealth |
