Investigador del IECS llevó la experiencia y la perspectiva de LAC sobre Ai entornos de bajos recursos en el evento en Aman, región MENA

🌍 Desde Amán, Jordania en investigador Martin Saban del Instituto de Efectividad Clinica y Sanitaria (IECS) participó del panel “From Concept to Impact: Advancing Health Outcomes Through Responsible AI in Low-Resource Settings”, en el encuentro regional Advancing Responsible AI for Global Health in MENA.
Presentación del proyecto
Martín presentó Natal-IA, un proyecto de Guatemala, apoyado por CLIAS - Centro de Inteligencia Artificial y Salud para América Latina y El Caribe que entrena a parteras rurales para realizar ecografías simples. La IA selecciona las imágenes relevantes, las envía a especialistas y traduce los informes a lenguas locales, ampliando capacidades en zonas donde el sistema no llega.
🧠 ¿La IA puede reemplazar a los trabajadores de la salud?
Martín compartió una reflexión honesta y necesaria: “Hoy la IA no reemplaza el juicio clínico; lo apoya y lo amplifica. Toda tecnología debe evaluarse como una intervención en salud: con evidencia, responsabilidad y foco en el paciente.”


🤝 Panel diverso y global
Con la participación de Jhon Magkilat, MPP (HealthAI - The Global Agency for Responsible AI in Health), Aral Sürmeli (HERA Digital Health),Pr.Dr. Zakaria Belrhiti (PhD)(Mohammed VI University of Health Sciences)
Moderado por Emily George Nicholson (UNICEF).
Organizado por
American University of Beirut, EMPHNET, IDRC en América Latina y el Caribe | IDRC in Latin America and the Caribbean y Foreign, Commonwealth and Development Office

Support the community
Thank you for visiting The Global Health Network, please take a moment to read this important message. As you know, our aim is to enable equity in access to research knowledge and this is successfully delivering support and training to 1000’s of research teams all over the world. But we need your support!. If you have benefited from this research skills and knowledge sharing facility, please help us sustain this remarkable and unique provision of information for those who could otherwise not access such support and training. We would be really grateful if you could make a donation or ask your employer or organisation to contribute to the costs of maintaining this platform and the generation of new contents for all users. Just a small contribution from everyone who can afford to pay would keep this available for those who cannot. Thank you, we really appreciate your part in this community effort to better equity in global health research.

