Seyed Amir Ahmad Safavi-Naini

According to our database, Seyed Amir Ahmad Safavi-Naini authored at least 12 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Grounding Clinical AI Competency in Human Cognition Through the Clinical World Model and Skill-Mix Framework.

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

CoRR, April, 2026

3DLAND: 3D Lesion Abdominal Anomaly Localization Dataset.

Mehran Advand, Zahra Dehghanian, Navid Faraji, Reza Barati, Seyed Amir Ahmad Safavi-Naini, Hamid R. Rabiee

CoRR, February, 2026

2025

State of Abdominal CT Datasets: A Critical Review of Bias, Clinical Relevance, and Real-world Applicability.

Saeide Danaei, Zahra Dehghanian, Elahe Meftah, Nariman Naderi, Seyed Amir Ahmad Safavi-Naini, Faeze Khorasanizade, Hamid R. Rabiee

CoRR, August, 2025

The challenge of uncertainty quantification of large language models in medicine.

Zahra Atf, Seyed Amir Ahmad Safavi-Naini, Peter R. Lewis, Aref Mahjoubfar, Nariman Naderi, Thomas Savage, Ali Soroush

CoRR, April, 2025

Vision Language Models versus Machine Learning Models Performance on Polyp Detection and Classification in Colonoscopy Images.

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

CoRR, March, 2025

Self-Reported Confidence of Large Language Models in Gastroenterology: Analysis of Commercial, Open-Source, and Quantized Models.

Nariman Naderi, Seyed Amir Ahmad Safavi-Naini, Thomas Savage, Zahra Atf, Peter R. Lewis, Girish N. Nadkarni, Ali Soroush

CoRR, March, 2025

Benchmarking proprietary and open-source language and vision-language models for gastroenterology clinical reasoning.

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

npj Digit. Medicine, 2025

Large language model uncertainty proxies: discrimination and calibration for medical diagnosis and treatment.

Thomas Savage, John Wang, Robert Gallo, Abdessalem Boukil, Vishwesh Patel, Seyed Amir Ahmad Safavi-Naini, Ali Soroush, Jonathan H. Chen

J. Am. Medical Informatics Assoc., 2025

Evaluating Prompt Engineering Techniques for Accuracy and Confidence Elicitation in Medical LLMs.

Nariman Naderi, Zahra Atf, Peter R. Lewis, Aref Mahjoubfar, Seyed Amir Ahmad Safavi-Naini, Ali Soroush

Proceedings of the Explainable, Trustworthy, and Responsible AI and Multi-Agent Systems, 2025

2024

Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular Data.

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

CoRR, 2024

Vision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized Models.

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

CoRR, 2024

2023

Visual transformer and deep CNN prediction of high-risk COVID-19 infected patients using fusion of CT images and clinical data.

Sara Saberi Tehrani Moghadam, Maral Zarvani, Paria Amiri, Zahra Ghods, Masoomeh Raoufi, Seyed Amir Ahmad Safavi-Naini, Amirali Soheili, Mohammad Gharib, Hamid Abbasi

BMC Medical Informatics Decis. Mak., December, 2023