Clinical AI, Equity, and Preparedness in Resource-Limited Health Systems copertina

Clinical AI, Equity, and Preparedness in Resource-Limited Health Systems

Clinical AI, Equity, and Preparedness in Resource-Limited Health Systems

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🎙️ Episode Title Clinical AI, Equity, and Preparedness in Resource-Limited Health Systems --- 🧠 Episode Summary In this episode of The Innovation Forum AI Podcast, Oliver Morgan speaks with Dr. Zainab Samad, Chair of the Department of Medicine and Director of the Health Data Science Center at Aga Khan University in Pakistan. Zainab shares how artificial intelligence is being applied in real-world clinical settings to uncover hidden inequities in care, improve decision-making, and strengthen health systems in resource-limited contexts. Drawing on examples ranging from natural language processing in cardiology to machine-learning models for hospital mortality and dengue surveillance, she explains how clinical insights can be translated into public-health intelligence through sustained engagement with policymakers. Together, they explore how AI can help low- and middle-income countries leapfrog traditional data barriers, why South-to-South collaboration is critical for context-aware innovation, and how Pakistan’s national AI policy is shaping collaboration between academia and the public sector to support preparedness and equitable health outcomes. --- 💬 Guest Dr. Zainab Samad Dr. Zainab Samad is Chair of the Department of Medicine and Ibn-e-Sina Endowed Professor of Medicine at Aga Khan University (AKU) in Karachi. She is a cardiologist and outcomes researcher whose work bridges clinical medicine, data science, and public health. She leads the Health Data Science Center at AKU and co-directs the NIHR Global Health Center for IMPACT, focusing on gender-inclusive capacity building, AI-driven clinical innovation, and public-health intelligence in low- and middle-income countries. Dr. Samad also serves on Pakistan’s National AI Policy Committee and is a strong advocate for equitable, locally grounded applications of artificial intelligence in health. --- 🌐 Resources and References - Aga Khan University – Health Data Science Center: https://www.aku.edu/mcpk/data-science/Pages/home.aspx - NIHR Global Health Centre for Impact: https://www.impactsouthasia.com/ - Contact information: [samad.zainab@aku.edu](mailto:samad.zainab@aku.edu); data.science@aku.edu - Pakistan’s National AI Policy: https://moitt.gov.pk/ --- 🎵 Music Credits Intro and outro music from Podcastle Stock Audio. Track: ‘Nairobi Nights’. License code: TZMW98HEQBZ9HSIP. --- ⚠️ Disclaimer This podcast is produced by the World Health Organization (WHO) as part of the Pandemic and Epidemic Intelligence Innovation Forum initiative: https://pandemichub.who.int/news-room/innovation-forum. The views expressed by guests are their own and don’t necessarily represent those of WHO or its affiliates. Guest affiliations have been disclosed for transparency purposes. Content is intended solely for information purposes and not as professional medical advice. Listeners are advised to consult qualified professionals for specific questions. All personal data collected for feedback is handled in accordance with WHO standards. --- 📲 Listen and Subscribe The Innovation Forum AI Podcast is available on Youtube, Spotify, Apple Podcasts, and Amazon Music. You can find a written summary of this episode here: https://substack.com/@omorgan? Be sure to follow, rate, and share to help us reach more public health professionals exploring the future of AI.
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