Artificial Intelligence for Better Health

High accuracy

PRIORITIZING Acute patients

Rapid detection

About us

AI-Med is a multidisciplinary research consortium utilizing artificial intelligence (AI) technologies to improve the quality and accuracy of digital health services. Established in 2019 by members and alumni of Data-Science and Machine Learning Lab at Sharif University of Technology (SUT) in Tehran, AI-Med brought together experts across artificial intelligence and medical sciences with the support of the AI Innovation Center at the Information and Communication Technology Innovation Center (ICTIC).

In February 2020, we joined the global effort to develop solutions that would enable healthcare providers respond effectively to the rapidly evolving COVID-19 pandemic. Our team designed and implemented the AI-based COVID-19 Detection system which recognize anomalies that are visually hard to detect in chest CT Scan images immediately after a patient is infected with COVID-19.

Our model utilizes an innovative preprocessing module to remove possible batch effects and deploys data from multiple sources for end-to-end training of Deep Neural Networks (DNN). In addition, the model calculates the size and volume of the infected areas for a more effective treatment of COVID-19 patients. The accuracy score of our model Is above 95%.

AI-Med is creating innovative ideas to utilize AI to address the immediate needs of COVID-19 diagnosis and improves digital health services worldwide.



Total Confirmed Cases


New Cases Today


Total Recovered


Cases Detected by AI-Med


Our success would not have been possible without the support of the Vice-Presidency for Science and Technology (ISTI), the ISTI Secretary of Automation and Digital Economy Technologies, the President of SUT, the SUT Vice Chancellor for Research and Technology, and SUT’s High Performance Computing Center. We are also grateful to Maryam Rabiee for her support in this project.

Contact us



AI-Med, AI Innovation Center
Sharif Technology Bldg. # 2
Habibollahi St.,Fatemi Alley,
No . 1 East, 4th Floor, Unit 11
Tehran, Iran