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TGHN LAC Logo banner. - LAC

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

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

TGHN IECS

PORTUGUÉS  INGLÉS

🌍 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.”

 

Martin Saban Panel Jordania
Martin Saban Presentación Jordania

🤝 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.

 

 

 

 

TGHN IECS

🌍 De Amã, Jordânia, o pesquisador Martin Saban do Instituto de Efectividad Clínica y Sanitaria (IECS) participou do painel “From Concept to Impact: Advancing Health Outcomes Through Responsible AI in Low-Resource Settings”, no encontro regional Advancing Responsible AI for Global Health in MENA.

 

Apresentação do projeto

Martín apresentou Natal-IA, um projeto da Guatemala, apoiado pelo CLIAS - Centro de Inteligencia Artificial y Salud para América Latina y El Caribe que treina parteiras rurais para realizar ultrassonografias simples. A IA seleciona as imagens relevantes, envia-as para especialistas e traduz os relatórios para as línguas locais, ampliando capacidades em áreas onde o sistema não chega.

🧠 A IA pode substituir os profissionais de saúde?

Martín compartilhou uma reflexão honesta e necessária:  “Hoje, a IA não substitui o julgamento clínico; ela o apoia e o amplifica. Toda tecnologia deve ser avaliada como uma intervenção em saúde: com evidência, responsabilidade e foco no paciente.”

 

Martin Saban Painel Jordania
Martin Saban Apresentacao Jordania

🤝 Painel diverso 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 por

American University of Beirut, EMPHNET, IDRC na América Latina e Caribe e Foreign, Commonwealth and Development Office

 

📌 Celebramos a participação do pesquisador Martin Saban levando a contribuição da LAC para a conversa sobre IA na Saúde.

 

TGHN IECS

🌍 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.

 

Project Presentation

Martin presented Natal-IA, a project from Guatemala supported by CLIAS - Center for Artificial Intelligence and Health for Latin America and the Caribbean which trains rural midwives to perform simple ultrasound scans. AI selects the relevant images, sends them to specialists, and translates reports into local languages, expanding capabilities in areas where the system does not reach.

🧠 Can AI replace health workers?

Martin shared an honest and necessary reflection:  “Today, AI does not replace clinical judgement; it supports and amplifies it. All technology must be evaluated as a health intervention: with evidence, responsibility, and a focus on the patient.”

 

Martin Saban Panel Jordan
Martin Saban Presentation Jordan

🤝 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).

Organised by

American University of Beirut, EMPHNET, IDRC in Latin America and the Caribbean and Foreign, Commonwealth and Development Office

 

📌 We celebrate the participation of researcher Martin Saban, bringing the LAC contribution to the conversation on AI in Health.

 

 

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