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BMC Pulmonary Medicine
|
February 15, 2018
Automated chart review utilizing natural language processing algorithm for asthma predictive index
Harsheen Kaur, Sunghwan Sohn, Chung-Il Wi, et al.
American Journal of Respiratory and Critical Care Medicine
|
April 5, 2017
Application of a Natural Language Processing Algorithm to Asthma Ascertainment. An Automated Chart Review
Chung-Il Wi, Sunghwan Sohn, Mary C Rolfes, et al.
International Journal of Medical Informatics
|
March 22, 2022
A hybrid model to identify fall occurrence from electronic health records
Sunyang Fu, Bjoerg Thorsteinsdottir, Xin Zhang, et al.
Medrxiv : the Preprint Server for Health Sciences
|
January 8, 2026
Drug-drug interaction identification using large language models
Kaitlin Blotske, Xingmeng Zhao, Kelli Henry, et al.
Medrxiv : the Preprint Server for Health Sciences
|
December 17, 2025
Rx-LLM: a benchmarking suite to evaluate safe large language model performance for medication-related tasks
Xingmeng Zhao, Kaitlin Blotske, Moriah Cargile, et al.
Biomedical Informatics Insights
|
July 8, 2016
Toward a Learning Health-care System - Knowledge Delivery at the Point of Care Empowered by Big Data and NLP
Vinod C Kaggal, Ravikumar Komandur Elayavilli, Saeed Mehrabi, et al.
The Journal of Allergy and Clinical Immunology. Global
|
March 17, 2025
AI model for predicting asthma prognosis in children
Elham Sagheb, Chung-Il Wi, Katherine S King, et al.
Medrxiv : the Preprint Server for Health Sciences
|
February 6, 2026
Drug or Pokémon? An analysis of the ability of large language models to discern fabricated medications
Kelli Henry, Brooke Smith, Xingmeng Zhao, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
July 20, 2022
A Technical Performance Study and Proposed Systematic and Comprehensive Evaluation of an ML-based CDS Solution for Pediatric Asthma
Shauna M Overgaard, Kevin J Peterson, Chung Ii Wi, et al.
BMJ Open Respiratory Research
|
December 29, 2020
Expert artificial intelligence-based natural language processing characterises childhood asthma
Hee Yun Seol, Mary C Rolfes, Wi Chung, et al.
Page
of 14
Search research articles
Search
Showing results (111-120 of 136) with videos related to
Sort By:
Page
of 14
BMC Pulmonary Medicine
|
February 15, 2018
Automated chart review utilizing natural language processing algorithm for asthma predictive index
Harsheen Kaur, Sunghwan Sohn, Chung-Il Wi, et al.
American Journal of Respiratory and Critical Care Medicine
|
April 5, 2017
Application of a Natural Language Processing Algorithm to Asthma Ascertainment. An Automated Chart Review
Chung-Il Wi, Sunghwan Sohn, Mary C Rolfes, et al.
International Journal of Medical Informatics
|
March 22, 2022
A hybrid model to identify fall occurrence from electronic health records
Sunyang Fu, Bjoerg Thorsteinsdottir, Xin Zhang, et al.
Medrxiv : the Preprint Server for Health Sciences
|
January 8, 2026
Drug-drug interaction identification using large language models
Kaitlin Blotske, Xingmeng Zhao, Kelli Henry, et al.
Medrxiv : the Preprint Server for Health Sciences
|
December 17, 2025
Rx-LLM: a benchmarking suite to evaluate safe large language model performance for medication-related tasks
Xingmeng Zhao, Kaitlin Blotske, Moriah Cargile, et al.
Biomedical Informatics Insights
|
July 8, 2016
Toward a Learning Health-care System - Knowledge Delivery at the Point of Care Empowered by Big Data and NLP
Vinod C Kaggal, Ravikumar Komandur Elayavilli, Saeed Mehrabi, et al.
The Journal of Allergy and Clinical Immunology. Global
|
March 17, 2025
AI model for predicting asthma prognosis in children
Elham Sagheb, Chung-Il Wi, Katherine S King, et al.
Medrxiv : the Preprint Server for Health Sciences
|
February 6, 2026
Drug or Pokémon? An analysis of the ability of large language models to discern fabricated medications
Kelli Henry, Brooke Smith, Xingmeng Zhao, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
July 20, 2022
A Technical Performance Study and Proposed Systematic and Comprehensive Evaluation of an ML-based CDS Solution for Pediatric Asthma
Shauna M Overgaard, Kevin J Peterson, Chung Ii Wi, et al.
BMJ Open Respiratory Research
|
December 29, 2020
Expert artificial intelligence-based natural language processing characterises childhood asthma
Hee Yun Seol, Mary C Rolfes, Wi Chung, et al.
Page
of 14