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.
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
📌 Celebramos la participación del investigador Martin Saban llevando el aporte de LAC en la conversación sobre IA en Salud, donde la evidencia, la ética y la perspectiva comunitaria son indispensables.
🌍 From Amman, Jordan, researcher Martin Saban from the Institute for Clinical and Health Effectiveness (IECS) participated in the panel “From Concept to Impact: Advancing Health Outcomes Through Responsible AI in Low-Resource Settings” at the regional meeting Advancing Responsible AI for Global Health in MENA.
Martin presented Natal-AI, a project from Guatemala, supported by the Center for Artificial Intelligence and Health for Latin America and the Caribbean (CLIAS), which trains rural midwives to perform simple ultrasounds. The AI selects relevant images, sends them to specialists, and translates the reports into local languages, expanding capabilities in areas where the healthcare system doesn't reach.
🧠 Can AI replace healthcare workers?
Martin shared an honest and necessary reflection: “Today, AI doesn't replace clinical judgment; it supports and amplifies it. All technology must be evaluated as a healthcare intervention: with evidence, responsibility, and a focus on the patient.”
🤝 Diverse and Global Panel
With the participation of 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)
Moderated by Emily George Nicholson (UNICEF).
Organized by the American University of Beirut, EMPHNET, IDRC in Latin America and the Caribbean, and the Foreign, Commonwealth and Development Office
📌 We celebrate the participation of researcher Martin Saban, who brings the Latin American and Caribbean perspective to the conversation on AI in Health, where evidence, ethics, and a community perspective are essential.
🌍 De Amã, Jordânia, o pesquisador Martin Saban, do Instituto para Efetividade Clínica e em Saúde (IECS), participou do painel “Do Conceito ao Impacto: Promovendo Resultados em Saúde por meio de IA Responsável em Ambientes com Recursos Limitados”, no encontro regional “Avançando a IA Responsável para a Saúde Global no Oriente Médio e Norte da África”.
Martin apresentou o Natal-AI, um projeto da Guatemala, apoiado pelo Centro de Inteligência Artificial e Saúde para a América Latina e o Caribe (CLIAS), que capacita parteiras rurais a realizar ultrassonografias simples. A IA seleciona imagens relevantes, as envia para especialistas e traduz os laudos para os idiomas locais, ampliando as capacidades em áreas onde o sistema de saúde não chega.
🧠 A IA pode substituir os profissionais de saúde?
Martin compartilhou uma reflexão honesta e necessária: “Hoje, a IA não substitui o julgamento clínico; ela o apoia e o amplia. Toda tecnologia deve ser avaliada como uma intervenção em saúde: com evidências, responsabilidade e foco no paciente.”
🤝 Painel Diversificado e Global
Com a participação 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)
Moderação de Emily George Nicholson (UNICEF)
Organizado pela Universidade Americana de Beirute, EMPHNET, IDRC na América Latina e Caribe e Ministério das Relações Exteriores, da Commonwealth e do Desenvolvimento (FCDO).
📌 Celebramos a participação do pesquisador Martin Saban, que traz a perspectiva latino-americana e caribenha para a discussão sobre IA em Saúde, onde evidências, ética e uma perspectiva comunitária são essenciais.
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