Nigam Shah
Stanford University
H-index: 77
North America-United States
Top articles of Nigam Shah
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Health AI Assurance Laboratories—Reply | JAMA | Nigam H Shah John D Halamka Brian Anderson | 2024/2/12 |
Feasibility of Automatically Detecting Practice of Race-Based Medicine by Large Language Models | Akshay Swaminathan Sid Salvi Philip Chung Alison Callahan Suhana Bedi | 2024/3/1 | |
Ethical and regulatory challenges of large language models in medicine | Jasmine Chiat Ling Ong Shelley Yin-Hsi Chang Wasswa William Atul J Butte Nigam H Shah | 2024/4/23 | |
Standing on FURM ground--A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems | arXiv preprint arXiv:2403.07911 | Alison Callahan Duncan McElfresh Juan M Banda Gabrielle Bunney Danton Char | 2024/2/27 |
Zero-Shot Clinical Trial Patient Matching with LLMs | arXiv preprint arXiv:2402.05125 | Michael Wornow Alejandro Lozano Dev Dash Jenelle Jindal Kenneth W Mahaffey | 2024/2/5 |
A Systematic Review of Testing and Evaluation of Healthcare Applications of Large Language Models (LLMs) | Suhana Bedi Yutong Liu Lucy Orr-Ewing Dev Dash Sanmi Koyejo | 2024/4/16 | |
Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare | BMC Medical Informatics and Decision Making | Lin Lawrence Guo Keith E Morse Catherine Aftandilian Ethan Steinberg Jason Fries | 2024/2/14 |
A Nationwide Network of Health AI Assurance Laboratories | JAMA | Nigam H Shah John D Halamka Suchi Saria Michael Pencina Troy Tazbaz | 2023/12 |
Scalable Approach to Consumer Wearable Postmarket Surveillance: Development and Validation Study | JMIR Medical Informatics | Richard M Yoo Ben T Viggiano Krishna N Pundi Jason A Fries Aydin Zahedivash | 2024/4/4 |
INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms | Advances in Neural Information Processing Systems | Shih-Cheng Huang Zepeng Huo Ethan Steinberg Chia-Chun Chiang Curtis Langlotz | 2024/2/13 |
Red Teaming Large Language Models in Medicine: Real-World Insights on Model Behavior | medRxiv | Crystal Tin-Tin Chang Hodan Farah Haiwen Gui Shawheen Justin Rezaei Charbel Bou-Khalil | 2024 |
MedAlign: a clinician-generated dataset for instruction following with electronic medical records | arXiv preprint arXiv:2308.14089 | Scott L Fleming Alejandro Lozano William J Haberkorn Jenelle A Jindal Eduardo P Reis | 2023/8/27 |
Ehrshot: An ehr benchmark for few-shot evaluation of foundation models | Advances in Neural Information Processing Systems | Michael Wornow Rahul Thapa Ethan Steinberg Jason Fries Nigam Shah | 2024/2/13 |
Lessons Learned from a Multi-Site, Team-Based Serious Illness Care Program Implementation at an Academic Medical Center | Journal of Palliative Medicine | Briththa Seevaratnam Samantha Wang Rebecca Fong Felicia Hui Alison Callahan | 2023/11/8 |
Ensuring useful adoption of generative artificial intelligence in healthcare | Journal of the American Medical Informatics Association | Jenelle A Jindal Matthew P Lungren Nigam H Shah | 2024/3/7 |
Contextualising adverse events of special interest to characterise the baseline incidence rates in 24 million patients with COVID-19 across 26 databases: a multinational … | EClinicalMedicine | Erica A Voss Azza Shoaibi Lana Yin Hui Lai Clair Blacketer Thamir Alshammari | 2023/4/1 |
DEPLOYR: a technical framework for deploying custom real-time machine learning models into the electronic medical record | Journal of the American Medical Informatics Association | Conor K Corbin Rob Maclay Aakash Acharya Sreedevi Mony Soumya Punnathanam | 2023/9/1 |
Principled estimation and evaluation of treatment effect heterogeneity: A case study application to dabigatran for patients with atrial fibrillation | Journal of Biomedical Informatics | Yizhe Xu Katelyn Bechler Alison Callahan Nigam Shah | 2023/6/14 |
Evaluation of feature selection methods for preserving machine learning performance in the presence of temporal dataset shift in clinical medicine | Methods of Information in Medicine | Joshua Lemmon Lin Lawrence Guo Jose Posada Stephen R Pfohl Jason Fries | 2023/5 |
Using public clinical trial reports to probe non-experimental causal inference methods | BMC Medical Research Methodology | Ethan Steinberg Nikolaos Ignatiadis Steve Yadlowsky Yizhe Xu Nigam Shah | 2023/9/9 |
Co-Authors
