When done correctly, data-driven decision-making can improve any human decision, and medicine is no exception. I am an MD-MBA-MME graduate, and during the past four years, I worked with various datasets to improve delivering patient care, such as computer-assisted diagnostics. For this, we need to integrate computational power and (bio)medical science, and the integration requires a ground understanding of both fields. My main goal is to facilitate this interdisciplinary collaboration and use advanced statistics to improve health system efficiency. I have three years of research experience working with various imaging and clinical databases. While studying the national cancer registry database and creating a database of 7000 COVID-19 patients, I got engaged with programming and data science. Soon after, I participated in two machine vision projects and enjoyed working in interdisciplinary teams. In addition to my publications, the experience I gained through industry research is remarkable. Implementing AI in clinical practice can be an ultimate joy of a researcher. That’s why we need connector scientists now days to reconnect two unrelated specialized fields, and do the magic. Currently, I am doing my postdoctoral in the Research Institute of Gastroenterology and Liver Diseases on the detection of pancreatic mass on CT scans and EUS images. I also joined an AI company to deploy AI solutions in imaging and report generation of PACS. I see myself as a clinician scientist in 2035 and as a faculty helping students participate in product-oriented projects. All my previous years endeavored to lay the foundations of this vision.
Shahid Beheshti University of Medical Sciences, Faculty of Medicine
Medical Doctorate (GPA: 16.98/20)
• Thesis: Trend of Oropharyngeal and Oral Cavity cancers in Iran from 2003 to 2017: Time Series Analysis of
National Cancer Registry Database
• Member of student research committee, Educational Development Center, medical students council, and
the founding team of the School of Medicine Students’ Journal and Peer Mentoring Program.
TEHRAN, IRAN
2014-2021
Shahid Beheshti University of Medical Sciences, Virtual School of Medical Education and Management
Master of Science in Medical Education (GPA: 18.78/20)
• Thesis: Design, Implementation and Evaluation of “Digestive Diseases CyberPatient Bootcamp” using Virtual Patients
TEHRAN, IRAN 2020-2023
Shahid Beheshti University of Medical Sciences, Virtual School of Medical Education and Management
Master of Business Administration in Healthcare ( 200-hour; 12 Courses; GPA: 20/20)
TEHRAN, IRAN 2021
University of Tehran, College of Engineering
Master of Business Administration ( 250-hour; 13 Courses; GPA: 17/20)
TEHRAN, IRAN 2022
Publications are presented chronologically and formatted as [Article Type. Authors. Title. Journal. Year].
§: Corresponding, first, or equally first author.
My contribution
Original Article. S Khalili, S.A.A Safavi-Naini § et al. Metabolic health’s central role in chronic kidney disease progression: a 20-year study of obesity-metabolic phenotype transitions. Nature Scientific Reports. 2024.
Conceptualization, Methodology, Programing and Analysis, Writing Original Draft, Visualization, Investigation
Original Article. S Khalili, S.A.A Safavi-Naini § et al. Metabolic health’s central role in chronic kidney disease progression: a 20-year study of obesity-metabolic phenotype transitions. Nature Scientific Reports. 2024.
Conceptualization, Methodology, Programing and Analysis, Writing Original Draft, Visualization, Investigation
Original Article. S.A.A Safavi-Naini § et al. Drivers’ behaviour confronting fixed and point-to-point speed enforcement camera: agent-based simulation and translation to crash relative risk change. Nature Scientific Reports. 2024.
Methodology, Writing Original Draft, Visualization, Investigation
Original Article. Visual transformer and deep CNN prediction of high-risk COVID-19 infected patients using fusion of CT images and clinical data. BMC Medical Informatics and Decision Making. 2023.
Data Preprocessing; Editing Manuscript Draft
Original Article. Mohamad Amin Pourhoseingholi et al. Effect of interferon-α on COVID-19 in-hospital mortality: a large-scale propensity score-matched study. European Cytokine Network. 2023.
Conceptualization, Data Curation, Supervision
Protocol Paper. S.A.A Safavi-Naini§ et al. PanCanAID–Pancreas Cancer Artificial Intelligence Driven Diagnosis in CT Scan Imaging: A Protocol for a Multicentric Ambispective Diagnostic Study. MedRxiv. 2023.
Conceptualization, Project administration, Visualization, Investigation
Systematic Review. N. Azizi et al. Gastric Cancer Risk in Association with Underweight, Overweight, and Obesity: A Systematic Review and Meta-Analysis. Cancers. 2023.
Visualization, Methodology, Writing
Original Article. F. Siavoshi, S.A.A Safavi-Naini§, et al. On-admission and dynamic trend of laboratory profiles as prognostic biomarkers in COVID-19 inpatients. Scientific Reports. 2023.
Conceptualization, Methodology, Programming, Data Curation, Formal analysis, Visualization, Project administration
Systematic Review. H. Hatami, P. Jamshidi, M. Arbabi, S.A.A Safavi-Naini, et al. Demographic, Epidemiologic, and Clinical Characteristics of Human Monkeypox Disease Pre- and Post-2022 Outbreaks: A Systematic Review and Meta-Analysis. Biomedicines. 2023.
Meta-Analysis, Visualization, Writing
Original Article. S. Barough, S.A.A Safavi-Naini§, et al. Generalizable machine learning approach for COVID-19 mortality risk prediction using on-admission clinical and laboratory features. Scientific Reports. 2023.
Conceptualization; Administration; Data Curation; Writing; Algorithm Development
Original Article. A. Naini, …, S.A.A Safavi-Naini§. Epidemiology and Histopathology of Nasopharyngeal Neoplasms in Iran. Iranian Journal of Otolaryngology. 2023.
Data Analysis; Data Visualization; Writing; Planning; Methodology
Review Article. H, Majlesi,…, S.A.A Safavi-naini§. Omicron variant of COVID-19: A focused review of biologic, clinical, and epidemiological changes. Immunopathologia Persa. 2022.
Administration; Conceptualization; Writing; Visualization
Editorial. A. Bashardoust, S.A.A Safavi-Naini. Ukraine War Should be Averted The Impact of War on Health in and Interconnected World. Canon Journal of Medicine. 2022.
Conceptualization; Writing
Original Article. T. Sabaghian, M. Honarvar, S.A.A Safavi-Naini, et al. Effect of Electrolyte Imbalance on Mortality and Late Acute Kidney Injury in Hospitalized COVID-19 Patients. Iranian Journal of Kidney Disease. 2022.
Data Analysis; Writing; Methodology
5§. Research Letter. S.A.A Safavi-Naini§, Mohamad Amin Pourhoseingholi. The impact of COVID-19 Vaccination in Iranian elderly: 7 percent of all-cause deaths reduced by vaccinating 2 percent of population. Gastroenterology and Hepatology From Bed to Bench. 2022.
Data Analysis; Writing
Original Article. H. Hatamabadi, … , S.A.A Safavi-Naini, et al. Epidemiology of COVID-19 in Tehran, Iran: A cohort study of clinical profile, risk factors, and outcomes. BioMed Research International. 2022.
Project Administration, Data Curation, Writing, Validation, Investigation
Original Article. S.A.A Safavi-Naini§ et al. Excess All-Cause Mortality and COVID-19 Reported Fatality in Iran (April 2013 – September 2021): Age and Sex Disaggregated Time Series Analysis. BMC Research Notes. 2022.
Conceptualization; Data Extraction; Methodology; Writing
Case Report. Z. Tajabadi, S.A.A Safavi-Naini, et al. Could inadvertent intravenous injection of COVID-19 vaccines cause severe adverse events? Immunopathologia Persa. 2022.
Investigation; Writing
Kindle Book. M. Farrokhi et al. Diagnosis and Treatment of Manifestations of COVID-19. Kindle. 2021
Chapter on Otolaryngology
Original Article. T. Faghihi, A. Ehsani, F. Shojaeian, S.A.A Safavi-Naini. Relationship between the Coronary Artery Calcium (CAC) Score and the Angle between the Aortic Valve and the Left Ventricular Inflow Long Axis (AV-LV) as Cardiovascular Risk Factors. Iranian Journal of Radiology. 2021.
Data Collection; Formal Analysis, Writing; Visualization
Original Article. M. Raoufi, …, S.A.A Safavi-Naini§. Comparison of Incidental Thyroid Nodules between Early Breast Cancer Patients and Healthy Controls: Higher Incidence and Thyroid Imaging Reporting and Data System (TI-RADS) Score of Cancer Patients. International Journal of Cancer Management. 2021.
Writing; Data Gathering; Formal Analysis
Case Report. S. Nekoghadam, R Bozorgmehr, S.A.A Safavi-Naini§. Acrocyanosis and Progressive Skin Necrosis as Manifestation of Waldenstrom Macroglobulinemia Associated With Type I Cryoglobulinemia: A Case Report. The International Journal of Lower Extremity Wounds. 2021.
Investigation; Writing
Original Article. M. Raoufi, S.A.A Safavi-Naini, et al. Correlation Between Chest Computed Tomography Scan Findings and Mortality of COVID-19 Cases; a Cross-Sectional Study. Archives of Academic Emergency Medicine. 2020.
Writing; Planning; Data Gathering, Analysis
Preprint
- Visual Transformer and Deep CNN Prediction of High-risk COVID-19 Infected Patients using Fusion of CT Images and Clinical Data.
- The comparison of Post-Operative Complications pre Covid era versus during Covid-Era based on Clavien-Dindo-classification: A Systematic Review and Meta-Analysis§
- COVID-19 vaccines breakthrough infection and adverse reactions in medical students: A nationwide survey in Iran
Under Review
- Benefit of Exercise after Laparoscopic Sleeve Gastrectomy Surgery: 4-Year Follow-up of Weight Regain and Glucose Profile §
- An analysis of time to death in hospitalized COVID-19 patients with and without remdesivir treatment
- Metabolic Health’s Central Role in Chronic Kidney Disease Progression: A 20-Year Study of Obesity-Metabolic Phenotype Transitions §
- Comparative Analysis of COVID-19 Pneumonia in Pregnant Versus Matched Non-Pregnant Women: Radiologic and Clinical Perspectives §
Name | Year | Location | Presentation/Workshop |
Opportunities and Challenges of Artificial Intelligence in Digital Health | Jan 2024 | Tehran, Iran | Workshops Chair; Lecturer: (1) Tutorial on AI tools for Digital Health; Lecturer: (2) Tutorial on Large Language Models (LLMs) for Digital Health |
9th International Congeress of Hepatitis and GI Endoscopy | Sep 2023 | Tehran, Iran | Lecturer: MLasMD Workshop |
International Congress of Artificial Intelligence in Medical Sciences | May 2023 | Kish, Iran | Prognostic Models in Image Processing; |
37th Congress of Iranian Society of Radiology | May 2023 | Tehran, Iran | |
15th Coloproctology Congress | Feb 2023 | Tehran, Iran | 3D Reconstruction of Perianal Fistula in MRI |
World Congress of Gastroenterology (WCOG) | Dec, 2022 | Dubai, UAE | |
Iranian Congress of Gastroenterology and Hepatology (ICGH) | Oct, 2022 | Tehran, Iran | [Assistant of Scientific Committee] |
Universal Scientific Education and Research Network (USERN) | Nov, 2021 | Synchronized (Iran, Turkey, Eurupe) | Excess Mortality and Reported Fatality in Iran: Please Triple the Pandemic Fatality |
Leiden International Medical Students Conference (LIMSC) | Mar, 2021 | Online | – |
Antwerp International Medical Students Congress (AMSC) | 2019 | Antwerpen, Belgium | DaVinci Robot Workshop |
Leiden International Medical Students Conference (LIMSC) | March, 2019 | Leiden, Netherland | 7 Tesla MRI Workshop; Leiden Techonology Park |
Name (Professor) | Duration | Location, Supervisor | Year | Content |
Tutorial on AI tools for Digital Health Workshop | 3-hour workshop | Opportunities and Challenges of Artificial Intelligence in Digital Health, Iran | 2024 | Introduction to medical imaging tools in digital health |
Tutorial on Large Language Models (LLMs) for Digital Health | 3 hour workshop | Opportunities and Challenges of Artificial Intelligence in Digital Health, Iran | 2024 | Introduction to use of LLMs and RAG-based chatbots for QA and knowledge extraction |
MLasMD Workshop | 8-hour workshop | 9th International Congress of Hepatitis and GI Endoscopy | 2023 | A comprehensive, interactive workshop to prepare medical specialist to read AI papers, understand their challenge, and work in multidisciplinary teams |
How to prepare a graphical abstract | 2-hour session | 21-day research course by students research committee of SBMU | 2023 | |
Introduction to ML: Human Logic-Machine Logic | 4-hour workshop | 21-day research course by students research committee of SBMU | 2023 | |
Scientific Network and Role of Social Media: Researchgate, Linkedin | 2-hour session | 21-day research course by students research committee of SBMU | 2023 | |
Introduction to ML: Human Logic-Machine Logic | 2-hour session in a 21-day workshop | Invited by the Student Research Committee of SBMU | 2022 | |
Shape your Vision: From Vision to Long-term goals, From short-term goals to daily tasks | 3-hour session | Invited by the Student Research Committee of SBMU | 2022 | |
Introduction to ML: Human Logic-Machine Logic | 2-hour session | 21-day research course by students research committee of SBMU | 2021 | |
Scientific Network and Role of Social Media: Researchgate, Linkedin | 2-hour session | 21-day research course by students research committee of SBMU | 2021 | |
Role of Debriefing in Case-Based Learning | 2 hours of 8-hour workshop | During MSEd, (Dr. Soleiman Ahmay) | 2020 | How we can use Adobe Captivate to create cases and format post-session debriefing |
Case Based Learning in Medicine: CyberPatient | 8 hours of 6-day workshop | During MSEd (Dr. Soleiman Ahmadi; Dr. Karim Qayumi) | 2020 | How we can use real cases to create standard patients |
TA of Surgery Ward | 1 Month | During Medical Internship, Surgery Ward, Emam Hossein Hospital, SBMU (Dr. Nemati Honar) | 2019 | Presentation for externs:
|
Peer Mentor of young medical students | 4 years (4 mentees) | During Med School (Faculty of Medicine, SBMU) | 2018-2022 | I helped first-year med students form their vision and long-term goals, and how to achieve them |
Research Mentor | 16 Mentees | Med school- Postdoc at RIGLD – Junior Research Scientist at DML -… | 2019-now | Helping biomed students start their research journey |
Prof. Mohammad Reza Zali MD, FACG (President of RIGLD institute): Distinguished professor of gastroenterology and hepatology at RIGLD who received his postgrad training at Illinois University – nnzali@hotmail.com
Hamid R. Rabiee Ph.D (Supervisor of my research fellowship): A tenured-track professor of computer science at Sharif University of Technology who received his Ph.D from Purdue University – rabiee@gmail.com
Hamid Asadzadeh Aghdaei MD-Ph.D (Supervisor of research fellowship): Associate professor of gastroenterology and hepatology at RIGLD – hamid.asadzadeh@sbmu.ac.ir
Alireza Vafaei Sadr Ph.D (My supervisor at an AI Company): Data scientists at RWTH Aachen University – asadr@ukaachen.de
Mohamad Amin Pourhoseingholi Ph.D (Mentor and supervisor): Associate professor of biostatistics at RIGLD – aminphg@gmail.com
