Selected Publications
You can also find my full list of papers on Google Scholar.
 | SAGE – Specialist AI for Guiding Experts Fateme Nateghi, Jonathan H. Chen, et al. Ongoing Project [Live Demo] / [GitHub] SAGE is a specialist-trained AI system that enhances electronic consultations (eConsults) by: • Retrieving similar patient cases from electronic health records (EHR) • Recommending clinical actions based on real-world data • Pre-filling structured templates using large language models (LLMs) • Supporting retrieval-augmented generation (RAG) to ground responses in context The goal is to scale access to specialty care, reduce delays, and promote guideline-aligned decision-making at the point of care. |
 | A Multi-Site Machine Learning Model for Predicting Treatment Retention in Opioid Use Disorder Fateme Nateghi, Sajjad Fouladvand, Steven Tate, Min Min Chan, Joannas Jie Lin Yeow, Kira Griffiths, Ivan Lopez, Jeremiah W. Bertz, Adam Miner, Tina Hernandez-Boussard, Chwen-Yuen Angie Chen, Huiqiong Deng, Keith Humphreys, Anna Lembke, Alexander Vance, Jonathan H. Chen Addiction, 2024 [Paper] / [GitHub] / [WebApp] |
 | Predicting Outcomes of Acute Kidney Injury Using Machine Learning Fateme Nateghi, Liesbeth Viaene, Hans Pottel, Wouter De Corte, Celine Vens Scientific Reports, 2023 [Paper] / [GitHub] |
 | Predicting Survival Outcomes in the Presence of Unlabeled Data Fateme Nateghi, Celine Vens Machine Learning, 2022 [Paper] / [GitHub] |
 | Clinical Entity-Augmented Retrieval for Clinical Information Extraction (CLEAR) I. Lopez, A. Swaminathan, K. Vedula, S. Narayanan, Fateme Nateghi npj Digital Medicine, 2025 [Paper] / [GitHub] |
 | Embedding-Driven Diversity Sampling to Improve Few-Shot Synthetic Data Generation I. Lopez, Fateme Nateghi, K. Caoili, J.H. Chen, A. Chaudhari arXiv preprint, 2025 [arXiv] |
 | MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks Suhana Bedi, ..., Fateme Nateghi, Jonathan H. Chen, Nigam H. Shah, et al. arXiv, 2025 [Paper] / [Med-HELM Docs] / [Live Benchmark] |
 | Deconver: A Deconvolutional Network for Medical Image Segmentation P. Ashtari, S. Noei, Fateme Nateghi, J.H. Chen, G. Jurman, A. Pizurica arXiv preprint, 2025 [arXiv] / [GitHub] |
 | Quantization-Free Lossy Image Compression Using Integer Matrix Factorization P. Ashtari, P. Behmandpoor, Fateme Nateghi, J.H. Chen, P. Patrinos arXiv preprint, 2024 [arXiv] / [GitHub] |
 | Supervised Fuzzy Partitioning P. Ashtari, Fateme Nateghi, H. Beigy Pattern Recognition, 2020 [Paper] |