A Clinical Data Summarization Pipeline for Patients at Risk for Esophageal Adenocarcinoma Undergoing Endoscopic Surveillance. - Ali Soroush; Courtney J. Diamond; Haley Zylberberg; Julian Abrams; Chunhua Weng (AMIA, 2022)

Leveraging electronic health record data for clinical trial planning by assessing eligibility criteria's impact on patient count and safety. - James R. Rogers; Jovana Pavisic; Casey N. Ta; Cong Liu 020; Ali Soroush; Ying Kuen Cheung; George Hripcsak; Chunhua Weng (J. Biomed. Informatics, 2022)

Large Language Models for Granularized Barrett's Esophagus Diagnosis Classification. - Jenna Kefeli; Ali Soroush; Courtney J. Diamond; Haley M. Zylberberg; Benjamin L. May; Julian A. Abrams; Chunhua Weng; Nicholas P. Tatonetti (CoRR, 2023)

Evaluating large language models on medical evidence summarization. - Liyan Tang; Zhaoyi Sun; Betina Ross S. Idnay; Jordan G. Nestor; Ali Soroush; Pierre A. Elias; Ziyang Xu; Ying Ding 001; Greg Durrett; Justin F. Rousseau; Chunhua Weng; Yifan Peng 002 (npj Digit. Medicine, 2023)

Generative Large Language Models are autonomous practitioners of evidence-based medicine. - Akhil Vaid; Joshua Lampert; Juhee Lee; Ashwin Sawant; Donald Apakama; Ankit Sakhuja; Ali Soroush; Denise Lee; Isotta Landi; Nicole Bussola; Ismail Nabeel; Robbie Freeman; et al. (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; et al. (CoRR, 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; et al. (CoRR, 2024)

Closing the gap between open source and commercial large language models for medical evidence summarization. - Gongbo Zhang; Qiao Jin 001; Yiliang Zhou; Song Wang 026; Betina Idnay; Yiming Luo; Elizabeth Park; Jordan G. Nestor; Matthew E. Spotnitz; Ali Soroush; Thomas Campion; Zhiyong Lu; et al. (npj Digit. Medicine, 2024)

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)

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 Lewis; Girish N. Nadkarni; Ali Soroush (CoRR, 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; et al. (CoRR, 2025)

The challenge of uncertainty quantification of large language models in medicine. - Zahra Atf; Seyed Amir Ahmad Safavi-Naini; Peter Lewis; Aref Mahjoubfar; Nariman Naderi; Thomas Savage; Ali Soroush (CoRR, 2025)

Evaluating Prompt Engineering Techniques for Accuracy and Confidence Elicitation in Medical LLMs. - Nariman Naderi; Zahra Atf; Peter R. Lewis 001; Aref Mahjoub far; Seyed Amir Ahmad Safavi-Naini; Ali Soroush (CoRR, 2025)