Hua Xu
Tohoku University · JP
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Leveraging Generative AI and Large Language Models: A Comprehensive Roadmap for Healthcare Integration
2023 · 230 Zit. · Healthcare
Improving Large Language Models for Clinical Named Entity Recognition via Prompt Engineering
2023 · 67 Zit. · arXiv (Cornell University)
Identifying and Extracting Rare Diseases and Their Phenotypes with Large Language Models
2024 · 53 Zit. · Journal of Healthcare Informatics Research
Are synthetic clinical notes useful for real natural language processing tasks: A case study on clinical entity recognition
2021 · 51 Zit. · Journal of the American Medical Informatics Association
Large language models for biomedicine: foundations, opportunities, challenges, and best practices
2024 · 51 Zit. · Journal of the American Medical Informatics Association
The application of artificial intelligence and data integration in COVID-19 studies: a scoping review
2021 · 50 Zit. · Journal of the American Medical Informatics Association
SCOR: A secure international informatics infrastructure to investigate COVID-19
2020 · 46 Zit. · Journal of the American Medical Informatics Association
Ease of adoption of clinical natural language processing software: An evaluation of five systems
2015 · 43 Zit. · Journal of Biomedical Informatics
A scoping review of fair machine learning techniques when using real-world data
2024 · 38 Zit. · Journal of Biomedical Informatics
Combining human and machine intelligence for clinical trial eligibility querying
2022 · 29 Zit. · Journal of the American Medical Informatics Association
Natural Language Processing of Clinical Documentation to Assess Functional Status in Patients With Heart Failure
2024 · 24 Zit. · JAMA Network Open
State of the Art in Clinical Informatics: Evidence and Examples
2013 · 22 Zit. · Yearbook of Medical Informatics
Landscape of Artificial Intelligence in Breast Cancer (2000–2021): A Bibliometric Analysis
2022 · 18 Zit. · Frontiers in Bioscience-Landmark
Automated Assessment of Medical Students' Clinical Exposures according to AAMC Geriatric Competencies.
2014 · 17 Zit. · PubMed
Parsing clinical text: how good are the state-of-the-art parsers?
2015 · 15 Zit. · BMC Medical Informatics and Decision Making