AI-MED
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.



Collaborators
The AI-Med Team

Prof. Hamid R. Rabiee
Senior Research and Technology Advisor

Hamed Dashti
EXECUTIVE

Saeid Masoudian
TECHNOLOGY

Rasso Ghavami
SCIENCE

Amir Mohseni
FINANCE & OPERATIONS

Mohammad Kohzadi
TECHNOLOGY

Mehrab Hamidi
SCIENCE

Elnaz Masoumi
REGULATORY & QUALITY
COVID-19 Detection System Team Lead
Collaborating partners

Dr. Abbas Foroutan
Associate Professor at Shahid Beheshti University of Medical Sciences

Dr. Jalil Koohpayehzadeh
President of Iran Univeristy Medical Science group

Dr. Ahmad Enhesari
Associate Professor at Kerman Univerity of Medical Sciences

Dr. Omid Motamedi
assistant Professor at Rasoul Akram (PBUH) Hospital

Prof. Shaghayegh Haghjooy
Professor at Isfahan University of Medical Sciences

Dr. Mahyar Ghafoori
Associate Professor at Iran University of Medical Science

Dr. Leila Ghalichi
Assistant Professor at Iran University of Medical Science

Dr. Alireza Aziz-Ahari
assistant Professor at Rasoul Akram (PBUH) Hospital

Dr. Hamid Reza
Rashidi
President of Kerman University of Medical Sciences

Dr. Omid Purnik
Assistant Professor at Iran University of Medical Science

Dr. Nader Tavakoli
Deputy of Treatment at Iran University of Medical Sciences

Dr. Mohammad Ali
Kazemi
Assistant Professor at Tehran University of Medical Sciences

Dr. Behnaz Moradi
Assistant Professor at Tehran University of Medical Sciences

Dr. Kiara Rezaie
Assistant Professor at Iran University of Medical Sciences
Research Assistants

Dr. Fateme Abdoli Nejad
Kerman University of Medical Sciences

Amirreza Manteghi Nezhad
Isfahan University of Medical Sciences

2,833,791+
Total Confirmed Cases

105,825+
New Cases Today

807,575+
Total Recovered

140+
Cases Detected by AI-Med
Acknowledgements
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
Email:
aimed@ictic.sharif.edu
Address:
AI-Med, AI Innovation Center
Sharif Technology Bldg. # 2
Habibollahi St.,Fatemi Alley,
No . 1 East, 4th Floor, Unit 11
Tehran, Iran
Tel:
+9821-66169143
+98-9386123801