AI Cures • MENASA 2023

Synopsis

Climate change, lengthening life expectancies, and sedentary lifestyles are impacting hospitals and public health sectors across the Middle East, North Africa, and South Asia (MENASA). The rise of AI in health presents a powerful opportunity to tackle these challenges and enable better patient outcomes. The MIT Jameel Clinic, the Saudi Ministry of Health, King Abdulaziz City for Science and Technology, King Faisal Specialist Hospital & Research Center, and Princess Nourah Bint Abdulrahman University are coming together in Riyadh, Saudi Arabia, to host AI Cures • MENASA 2023, a one-day event which aims to address obstacles and find a way forward for AI in health in the MENASA region.

Taking place on 19 December 2023, AI Cures • MENASA 2023 convenes researchers, health industry leaders, government partners and donors to discuss trends and advancements in AI, data and challenges and opportunities in the region, through a series of keynote sessions and panel discussions.

WHERE?
Crowne Plaza Riyadh RDC Hotel & Convention, Riyadh Digital City
FORMAT
WHEN?
📆
19
December
2023
08h30-16h45
DETAILS
Watch livestream

Participants

Mohamed Alhamali

Chairman of the National Innovation & Sandbox and Chief Innovation Officer SVH, SEHA Virtual Hospital & Enablement Centre of the Ministry of Health of Saudi Arabia

Nacer Eddine Mami

Clinical Lead, Regional Network, MIT Jameel Clinic

Mona Almeheid

Head of healthcare, NCAI, SCAIA

Osama Aswailem

Chief Information Officer, King Faisal Specialist Hospital & Research Centre

Batoul AlBaz

VP for health sector, King Abdulaziz City for Science and Technology

Abdulaziz Alhomod

Chief Medical Officer, SEHA Virtual Hospital

Shada Alsalamah

Assistant professor, King Saud University and technical officer, WHO

Hassan Jameel

Vice chairman, Community Jameel

Ignacio Fuentes Ribas

Executive director, MIT Jameel Clinic

Marzyeh Ghassemi

Principal Investigator 2022, Jameel Clinic

Saad Alhuzami

Chief Data Officer, Ministry of Health of Saudi Arabia

Areej Al-Wabil

Director of the Ai Centre, Alfaisal University and HCI Design Lab

Yazid Alazwari

Head of new technologies assessment, SFDA

Dina Katabi

Principal investigator, MIT Jameel Clinic; Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science, MIT

Khaled Aldhaayan

General manager of ecosystems & projects, NCAI, SDAIA

Fotini Christia

Principal investigator, MIT Jameel Clinic; Ford International Professor for the Social Sciences, MIT

Sultan Alzahrani

Assistant professor, King Abdulaziz City for Science and Technology

Ahmed Alsinan

Senior research scientist, SDAIA

Shrooq Alsenan

2022 Fellow, MIT Jameel Clinic

Mohammed Alhamid

Director of the Centre for Healthcare Intelligence at King Faisal Specialist Hospital & Research Centre

Abdulaziz bin Hamad Al-Rumaih

Deputy Minister, Ministry of Health of Saudi Arabia

Organisers

Partners

With representatives from

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About the event

AI Cures • MENASA 2023 Agenda

8h00: Check in

8h50: Opening remarks from Mohammed Alhamali and Nacer Eddine Mami

9h00: Keynote 1: AI for healthcare with Dina Katabi

9h30: Panel 1: AI adoption in healthcare - challenges & opportunities in the region with Mona Almeheid, Osama Alswailem, Batoul AlBaz, Abdulaziz Alhomod and Shada Alsalamh. Moderated by Ignacio Feuentes Ribas

10h15: Coffee break

11h00: Opening remarks: Poster ceremony from Hassan Jameel, Ignacio Fuentes Ribas and Abdulaziz bin Hamad Al-Rumaih

11h30: Keynote 2: Automatic bias detection & rationalisation in healthcare with Shrooq Alsenan

12h00: Panel 2: Collaborations and data sharing for AI advancements with Saad Alhuzami, Areej Alwabil, Shrooq Alsenan and Khaled Aldhaayan. Moderated by Fotini Christia

12h45: Lunch break

13h45: Keynote 3: AI-powered patient-centred healthcare with Mohammed Alhamid

14h15: Panel 3: Recent trend and advancements in AI for healthcare with Mohammed Alhamali, Sultan Alzahrani, Ahmed Alsinan and Yazid Alazwari. Moderated by Dina Katabi.

15h00: Coffee break

15h30: Keynote 4: Expanding medicine with machine learning with. Marzyeh Ghassemi

16h05: Closing remarks from Ignacio Fuentes Ribas