Latest

• A Data-Centric Approach to Generate Faithful and High Quality Patient Summaries with Large Language Models
• Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writing
• Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes
• TabLLM: Few-shot Classification of Tabular Data with Large Language Models
• Co-training Improves Prompt-based Learning for Large Language Models
• Large Language Models are Few-Shot Clinical Information Extractors
• Leveraging Time Irreversibility with Order-Contrastive Pre-training
• MedKnowts: Unified Documentation and Information Retrieval for Electronic Health Records
• Assessing the Impact of Automated Suggestions on Decision Making: Domain Experts Mediate Model Errors but Take Less Initiative
• Automated NLP Extraction of Clinical Rationale for Treatment Discontinuation in Breast Cancer
• PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming
• Directing Human Attention in Event Localization for Clinical Timeline Creation
• Fast, Structured Clinical Documentation via Contextual Autocomplete
• Robust Benchmarking for Machine Learning of Clinical Entity Extraction
• Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph