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 1: Design, Implementation and Evaluation of “Digestive Diseases CyberPatient Bootcamp” using Virtual Patients
• Thesis 2: EXAMINER: Developing Standard Medical Exams from Validated Source, Utilizing Large Language Models and Retrieval Augmented Generation
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
Article Type. Authors. Article Title. Journal. Year. DOI.
©: corresponding author, §: first author
My contribution
Conceptualization, Supervision, Validation, Visualization, Methodology, Writing – original draft
Conceptualization, Methodology, Formal analysis, Investigation, Software
Original Article. MA Pourhoseingholi, et al. Atorvastatin Effect on COVID-19 Outcomes: A Propensity Score Matched Study on Hospitalized Patients. Current Medicinal Chemistry. 2024. https://doi.org/10.2174/0109298673264305231025093939
Methodology, Data Curation, Writing the Original Draft
Data Analysis
Conceptualization, Methodology, Analysis, Writing the Original Draft
Original Article. L Karout, et al. Survey of CT radiation doses and iodinated contrast medium administration: an international multicentric study. European Radiology. 2024. https://doi.org/10.1007/s00330-024-11017-7
Data Collection
Data Curation, Writing the Original Draft
Original Article. SAA Safavi-Naini, et al. GI-COPILOT: AUGMENTING CHATGPT WITH GUIDELINE-BASED KNOWLEDGE. Gastroenterology. 2024. https://www.gastrojournal.org/issue/S0016-5085(24)X6001-1?pageStart=40
Conceptualization, Methodology, Programming, Writing the Original Draft
Data curation, Formal analysis, Writing – original draft
Conceptualization, Methodology, Programing and Analysis, Writing Original Draft, Visualization, Investigation
Methodology, Writing Original Draft, Visualization, Investigation
Original Article. SSM Tehrani, et al. 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. https://doi.org/10.1186/s12911-023-02344-8
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. https://www.jle.com/10.1684/ecn.2023.0485
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. https://doi.org/10.1101/2023.08.03.23293596
Conceptualization, Project administration, Visualization, Investigation
§ Review Paper. Y Farsi and S.A.A Safavi-Naini et al. Assessing Postoperative Complications During COVID-19 Pandemic: A Systematic Review and Meta-Analysis. 9th Annual Sessions of the American-College-of-Surgeons (ACS). 2023. https://www.medrxiv.org/content/10.1101/2022.02.25.22271519v1.full.pdf
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. https://doi.org/10.3390/cancers15102778
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. https://doi.org/10.1038/s41598-023-34166-z
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. https://www.mdpi.com/2227-9059/11/3/957
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. https://doi.org/10.1038/s41598-023-28943-z
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. https://doi.org/10.22038/ijorl.2022.63193.3180
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. https://doi.org/10.34172/ipp.2022.34449
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. https://doi.org/10.30477/cjm.2022.173933
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. https://pubmed.ncbi.nlm.nih.gov/35962637
Data Analysis; Writing; Methodology
§ 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. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9275740
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. https://doi.org/10.1155/2022/2350063
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. https://doi.org/10.1186/s13104-022-06018-y
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. https://doi.org/10.34172/ipp.2022.31392
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. https://dx.doi.org/10.5812/iranjradiol.110421
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. https://dx.doi.org/10.5812/ijcm.113500
Writing; Data Gathering; Formal Analysis; Conceptualization
© 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. https://doi.org/10.1177/15347346211026994
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. https://doi.org/10.22037/aaem.v8i1.719
Writing; Planning; Data Gathering, Analysis
Preprint / Under Review
- Original Article. JS Samaan, et al. Multimodal Large Language Model Passes Specialty Board Examination and Surpasses Human Test-Taker Scores: A Comparative Analysis Examining the Stepwise Impact of Model Prompting Strategies on Performance. MedRxiv. https://doi.org/10.1101/2024.07.27.24310809
- § Original Article. SAA Safavi-Naini, et al. Vision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized Models. arXiv. https://doi.org/10.48550/arXiv.2409.00084
- © Original Article. M Ghaffarzadeh-Esfahani, et al. Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular Data. arXiv. 2024. https://doi.org/10.48550/arXiv.2409.02136
- © Original Article. MA Khalafi, et al. Vision Language Models versus Machine Learning Models Performance on Polyp Detection and Classification in Colonoscopy Images. Under Review at Scientific Reports.
| Name | Year | Location | Presentation/Workshop |
| Digestive Disease Week | May 2024 | Washington D.C, USA | Distinguished Poster Award for GI-Copilot: RAG-based LLM for answering gastroenterology questions |
| 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 |
| Year(s) | Role | Organization | Description |
|---|---|---|---|
| 2024-now | Digital Transformation Consultant | Private Insurance Firm (Saman) | Developing an automated pipeline based on LLM for organizing data. |
| 2024 | Project Consultant | Intelligent Platform (Sakoo) | Trained, deployed, and maintained AI for healthcare professionals involving the integration of LLM and MLOps (5 months). |
| 2024 | Project Consultant | Private Hospital (Atie) | Integrated a voice assistant into hospital systems (3 months). |
| 2023 | Co-Founder | EZzy | Startup offering a platform for AI-driven annotation and labeling (4 months). |
| 2023-now | General Practitioner | Private Clinic | Working as a GP and taking on part-time ED night shifts. |
| 2020 | R&D Associate | MEDIAI | Worked on an AI-based alarming system for 15 emergency conditions of brain CT scans (9 months). |
| 2019-2022 | Co-founder (CMO) | AI-MEIDIC | Diagnosed and risk stratified COVID-19 in CXR using machine learning tools. |
| 2018-2021 | Medical Intern | Various Hospitals | Completed a 20-month internship in Surgery, Internal Medicine, Pediatrics, Cardiology, Obstetrics and Gynecology, and Emergency Medicine. Volunteered in COVID-19 ward and ICU for two months. |
1- Ali Soroush, MD, MS (Mentor and supervisor at D3M): Assistant Professor of Gastroenterology at Division of Data-Driven Decision (D3M) Making at the Icahn School of Medicine at Mount Sinai – Ali.Soroush@mountsinai.org
2- Girish N. Nadkarni, MD, MPH (Chair of D3M): Chair of the Windreich Department of Artificial Intelligence and Human Health and Director of the Hasso Plattner Institute for Digital Health at the Icahn School of Medicine at Mount Sinai – girish.nadkarni@mountsinai.org
3- Hamid R. Rabiee, Ph.D (Supervisor): Distinguished professor of computer science at Sharif University of Technology – rabiee@gmail.com
4- Mohamad Amin Pourhoseingholi, Ph.D. (Mentor and supervisor at RIGLD): Associate professor of biostatistics at RIGLD and Medical Statistician at NIHR Nottingham Biomedical Research Centre (Hearing) – aminphg@gmail.com
5- Hamid Asadzadeh Aghdaei, MD-Ph.D. (Supervisor at RIGLD): Associate professor of Gastroenterology at RIGLD – hamid.asadzadeh@sbmu.ac.ir
6- Alireza Vafaei Sadr, Ph.D (Supervisor at an MEDICAI Company): Senior Data scientists at Pennsylvania State – vafaei.sadr@gmail.com
7- Mohammad Reza Zali, MD, FACG (President of RIGLD): Distinguished professor of gastroenterology at Research Institute for Gastroenterology and Liver Diseases (RIGLD) – nnzali@hotmail.com
