{"total":14,"rows":[{"id":"2307.02028","title":"EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models","created":"2023-07-05","cited_by_count":105,"area":null},{"id":"2311.10798","title":"INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis","created":"2023-11-17","cited_by_count":27,"area":null},{"id":"2108.12250","title":"A comparison of approaches to improve worst-case predictive model performance over patient subpopulations","created":"2021-08-27","cited_by_count":12,"area":null},{"id":"2303.06269","title":"DEPLOYR: A technical framework for deploying custom real-time machine learning models into the electronic medical record","created":"2023-03-11","cited_by_count":5,"area":null},{"id":"2410.17035","title":"DIRI: Adversarial Patient Reidentification with Large Language Models for Evaluating Clinical Text Anonymization","created":"2024-10-22","cited_by_count":4,"area":null},{"id":"2211.10828","title":"Instability in clinical risk stratification models using deep learning","created":"2022-11-20","cited_by_count":3,"area":null},{"id":"2209.09188","title":"Avoiding Biased Clinical Machine Learning Model Performance Estimates in the Presence of Label Selection","created":"2022-09-15","cited_by_count":1,"area":null},{"id":"2603.24903","title":"Self-Supervised Learning for Knee Osteoarthritis: Diagnostic Limitations and Prognostic Value of Hospital Data","created":"2026-03-26","cited_by_count":1,"area":null},{"id":"2605.03301","title":"SHIELD: A Diverse Clinical Note Dataset and Distilled Small Language Models for Enterprise-Scale De-identification","created":"2026-05-05","cited_by_count":1,"area":null},{"id":"2311.02748","title":"Pyclipse, a library for deidentification of free-text clinical notes","created":"2023-11-05","cited_by_count":0,"area":null},{"id":"2503.07664","title":"Antibiotic Resistance Microbiology Dataset (ARMD): A Resource for Antimicrobial Resistance from EHRs","created":"2025-03-08","cited_by_count":0,"area":null},{"id":"2608.15719","title":"PLeDO: Pain Level Detection for Osteoarthritis from EMR Data","created":"2026-08-16","cited_by_count":0,"area":null},{"id":"2608.17051","title":"Institution-Specific LLM Prompting Recovers PHI That De-identification Systems and Their Gold Standards Both Miss","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2610.07224","title":"TIDE 2.0: an open, model-agnostic engine for keyed de-identification of clinical notes","created":"2026-10-05","cited_by_count":0,"area":null}],"next_cursor":null}