Jameel Clinic Launch Pioneering AI Tool “Mirai” for Early Breast Cancer Detection in Saudi Arabia

by Nada Khaled


The Jameel Clinic, the epicenter of artificial intelligence (AI) in healthcare at the Massachusetts Institute of Technology (MIT), and King Faisal Specialist Hospital and Research Centre (KFSH&RC) have joined forces to roll out Mirai, a pioneering AI tool that can detect breast cancer up to five years earlier, and more accurately, than current mainstream screening techniques.

The introduction of the tool for the first time to the Kingdom of Saudi Arabia comes through the partnership between the Jameel Clinic and KFSH&RC. Through this collaboration, the Jameel Clinic and KFSH&RC aim to deploy AI-enabled health technologies to help save lives and to revolutionize the landscape of healthcare in the kingdom, especially in breast cancer care, whose chances of treatment can double with early detection.

The Jameel Clinic, co-founded by MIT and Community Jameel in 2018, has collaborated with KFSH&RC in using artificial intelligence to deploy other innovative tools, including for the early detection of lung cancer. These tools are undergoing a number of tests on a wide range of patients under the supervision of specialist doctors to ensure that systematic health results are produced in a scientifically accurate manner.

Mirai uses a non-invasive deep-learning algorithm to predict breast cancer using only a patient’s mammogram. Mirai is equally effective across different races and ethnicities, which presents a major advance for health equity.

Mirai was trained on the same dataset of over 200,000 exams from Massachusetts General Hospital (MGH), and was validated on test sets from MGH, the Karolinska Institute in Sweden, and Chang Gung Memorial Hospital (CGMH) in Taiwan. Mirai is now installed at MGH, and the team’s collaborators are actively working on integrating the model into clinical care.

In July 2023, Jameel Clinic and KFSH&RC announced a partnership aimed at advancing clinical AI research. The partnership seeks to enhance patient care, improve clinical outcomes, and reduce healthcare costs through the development and implementation of advanced AI tools and solutions.

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