The Future of AI in Medicine: Revolutionizing Healthcare | Mick Nagra | TEDxActon Youth

AI in Healthcare: Potential & Current Applications - AI can address the global healthcare access gap, where nearly half the world lacks essential services [3] - AI can operate 24/7, scanning images, monitoring symptoms, and analyzing data for early detection [3] - AI's accuracy in detecting conditions like breast cancer and skin lesions can match or outperform doctors in some studies [4] - AI applications in medicine include medical imaging analysis, virtual health assistants, drug discovery, personalized medicine, and remote monitoring [5] Challenges & Ethical Considerations - AI bias, arising from training on limited population data, can lead to misdiagnosis [7] - Privacy concerns exist regarding the protection of personal health data [7] - Unequal access to AI tools could widen the health gap [8] Call to Action - Individuals should learn to code or think beyond code to understand AI's capabilities [8] - Involvement in programs like AI for All and healthcare hackathons is encouraged [9] - Critical questioning about who benefits and who is left out is essential [9]