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


CEO

Saeid Masoudian


CTO

Rasso Ghavami


CSO

COVID-19 Detection System Team Lead

Prof. Hamidi R. Rabiee

Professor, CE Department, Sharif University of Technology
Member of The World Health Organization (WHO) AI committee
Director, AICT Research Institute
Director, DML & BCB & BCS Research Labs

Prof. Hossein Ghenaati

Professor, Radiology, Tehran University of Medical Sciences (TUMS)
Director of Imam Khomeini Hospital Medical Imaging Center
Director of Advanced Diagnostic and Interventional Radiology Research Center
Director of medical Imaging center of Imam Khomeini Hospital

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

Amir Mohseni

Sharif University of Technology

Mehrab Hamidi

Sharif University of Technology

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