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ORCIDSeyed Amir Ahmad Safavi-Naini
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2020 – today
- 2026
[i9]Mehran Advand, Zahra Dehghanian, Navid Faraji, Reza Barati, Seyed Amir Ahmad Safavi-Naini, Hamid R. Rabiee:
3DLAND: 3D Lesion Abdominal Anomaly Localization Dataset. CoRR abs/2602.12820 (2026)- [i8]Seyed Amir Ahmad Safavi-Naini, Elahe Meftah, Josh Mohess, Pooya Mohammadi Kazaj, George CM. Siontis, Zahra Atf, Peter R. Lewis, Mauricio Reyes, Girish N. Nadkarni, Roland Wiest, Stephan Windecker, Christoph Graeni, Ali Soroush, Isaac Shiri:
Grounding Clinical AI Competency in Human Cognition Through the Clinical World Model and Skill-Mix Framework. CoRR abs/2604.08226 (2026) - 2025
- [j3]Thomas Savage
, John Wang, Robert Gallo, Abdessalem Boukil, Vishwesh Patel, Seyed Amir Ahmad Safavi-Naini, Ali Soroush, Jonathan H. Chen:
Large language model uncertainty proxies: discrimination and calibration for medical diagnosis and treatment. J. Am. Medical Informatics Assoc. 32(1): 139-149 (2025) - [j2]Seyed Amir Ahmad Safavi-Naini, Shuhaib Ali, Omer Shahab, Zahra Shahhoseini, Thomas Savage, Sara Rafiee, Jamil S. Samaan, Reem Al Shabeeb, Farah Ladak, Jamie O. Yang, Juan Echavarria, Sumbal Babar, Aasma Shaukat, Samuel Margolis, Nicholas P. Tatonetti, Girish N. Nadkarni, Bara El Kurdi, Ali Soroush:
Benchmarking proprietary and open-source language and vision-language models for gastroenterology clinical reasoning. npj Digit. Medicine 8(1) (2025) - [c1]Nariman Naderi, Zahra Atf, Peter R. Lewis, Aref Mahjoubfar, Seyed Amir Ahmad Safavi-Naini, Ali Soroush:
Evaluating Prompt Engineering Techniques for Accuracy and Confidence Elicitation in Medical LLMs. EXTRAAMAS 2025: 67-84 - [i7]Nariman Naderi, Seyed Amir Ahmad Safavi-Naini, Thomas Savage, Zahra Atf, Peter R. Lewis, Girish N. Nadkarni, Ali Soroush:
Self-Reported Confidence of Large Language Models in Gastroenterology: Analysis of Commercial, Open-Source, and Quantized Models. CoRR abs/2503.18562 (2025) - [i6]Mohammad Amin Khalafi, Seyed Amir Ahmad Safavi-Naini, Ameneh Salehi, Nariman Naderi, Dorsa Alijanzadeh, Pardis Ketabi Moghadam, Kaveh Kavosi, Negar Golestani, Shabnam Shahrokh, Soltanali Fallah, Jamil S. Samaan, Nicholas P. Tatonetti, Nicholas Hoerter, Girish N. Nadkarni, Hamid Asadzadeh Aghdaei, Ali Soroush:
Vision Language Models versus Machine Learning Models Performance on Polyp Detection and Classification in Colonoscopy Images. CoRR abs/2503.21840 (2025) - [i5]Zahra Atf, Seyed Amir Ahmad Safavi-Naini, Peter R. Lewis, Aref Mahjoubfar, Nariman Naderi, Thomas Savage, Ali Soroush:
The challenge of uncertainty quantification of large language models in medicine. CoRR abs/2504.05278 (2025) - [i4]Nariman Naderi, Zahra Atf, Peter R. Lewis, Aref Mahjoubfar, Seyed Amir Ahmad Safavi-Naini, Ali Soroush:
Evaluating Prompt Engineering Techniques for Accuracy and Confidence Elicitation in Medical LLMs. CoRR abs/2506.00072 (2025) - [i3]Saeide Danaei, Zahra Dehghanian, Elahe Meftah, Nariman Naderi, Seyed Amir Ahmad Safavi-Naini, Faeze Khorasanizade, Hamid R. Rabiee:
State of Abdominal CT Datasets: A Critical Review of Bias, Clinical Relevance, and Real-world Applicability. CoRR abs/2508.13626 (2025) - 2024
- [i2]Seyed Amir Ahmad Safavi-Naini, Shuhaib Ali, Omer Shahab, Zahra Shahhoseini, Thomas Savage, Sara Rafiee, Jamil S. Samaan, Reem Al Shabeeb, Farah Ladak, Jamie O. Yang, Juan Echavarria, Sumbal Babar, Aasma Shaukat, Samuel Margolis, Nicholas P. Tatonetti, Girish N. Nadkarni, Bara El Kurdi, Ali Soroush:
Vision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized Models. CoRR abs/2409.00084 (2024) - [i1]Mohammadreza Ghaffarzadeh-Esfahani, Mahdi Ghaffarzadeh-Esfahani, Arian Salahi-Niri, Hossein Toreyhi, Zahra Atf, Amirali Mohsenzadeh-Kermani, Mahshad Sarikhani, Zohreh Tajabadi, Fatemeh Shojaeian, Mohammad Hassan Bagheri, Aydin Feyzi, Mohammadamin Tarighatpayma, Narges Gazmeh, Fateme Heydari, Hossein Afshar, Amirreza Allahgholipour, Farid Alimardani, Ameneh Salehi, Naghmeh Asadimanesh, Mohammad Amin Khalafi, Hadis Shabanipour, Ali Moradi, Sajjad Hossein Zadeh, Omid Yazdani, Romina Esbati, Moozhan Maleki, Danial Samiei Nasr, Amirali Soheili, Hossein Majlesi, Saba Shahsavan, Alireza Soheilipour, Nooshin Goudarzi, Erfan Taherifard, Hamidreza Hatamabadi, Jamil S. Samaan, Thomas Savage, Ankit Sakhuja, Ali Soroush, Girish N. Nadkarni, Ilad Alavi Darazam, Mohamad Amin Pourhoseingholi, Seyed Amir Ahmad Safavi-Naini:
Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular Data. CoRR abs/2409.02136 (2024) - 2023
- [j1]Sara Saberi Tehrani Moghadam, Maral Zarvani, Paria Amiri, Zahra Ghods, Masoomeh Raoufi, Seyed Amir Ahmad Safavi-Naini, Amirali Soheili, Mohammad Gharib, Hamid Abbasi:
Visual transformer and deep CNN prediction of high-risk COVID-19 infected patients using fusion of CT images and clinical data. BMC Medical Informatics Decis. Mak. 23(1): 265 (2023)
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