Artificial intelligence applied to clinical trials: opportunities and challenges
S Askin, D Burkhalter, G Calado, S El Dakrouni - Health and technology, 2023 - Springer
Abstract Background Clinical Trials (CTs) remain the foundation of safe and effective drug
development. Given the evolving data-driven and personalized medicine approach in …
development. Given the evolving data-driven and personalized medicine approach in …
Natural language processing for smart healthcare
Smart healthcare has achieved significant progress in recent years. Emerging artificial
intelligence (AI) technologies enable various smart applications across various healthcare …
intelligence (AI) technologies enable various smart applications across various healthcare …
A survey on recent named entity recognition and relationship extraction techniques on clinical texts
Significant growth in Electronic Health Records (EHR) over the last decade has provided an
abundance of clinical text that is mostly unstructured and untapped. This huge amount of …
abundance of clinical text that is mostly unstructured and untapped. This huge amount of …
Artificial intelligence approaches using natural language processing to advance EHR-based clinical research
Y Juhn, H Liu - Journal of Allergy and Clinical Immunology, 2020 - Elsevier
The wide adoption of electronic health record systems in health care generates big real-
world data that open new venues to conduct clinical research. As a large amount of valuable …
world data that open new venues to conduct clinical research. As a large amount of valuable …
How can natural language processing help model informed drug development?: a review
Objective To summarize applications of natural language processing (NLP) in model
informed drug development (MIDD) and identify potential areas of improvement. Materials …
informed drug development (MIDD) and identify potential areas of improvement. Materials …
Cohort selection for clinical trials: n2c2 2018 shared task track 1
Abstract Objective Track 1 of the 2018 National NLP Clinical Challenges shared tasks
focused on identifying which patients in a corpus of longitudinal medical records meet and …
focused on identifying which patients in a corpus of longitudinal medical records meet and …
Applications of natural language processing in ophthalmology: present and future
Advances in technology, including novel ophthalmic imaging devices and adoption of the
electronic health record (EHR), have resulted in significantly increased data available for …
electronic health record (EHR), have resulted in significantly increased data available for …
Trends and features of the applications of natural language processing techniques for clinical trials text analysis
Natural language processing (NLP) is an effective tool for generating structured information
from unstructured data, the one that is commonly found in clinical trial texts. Such …
from unstructured data, the one that is commonly found in clinical trial texts. Such …
A systematic review on natural language processing systems for eligibility prescreening in clinical research
Objective We conducted a systematic review to assess the effect of natural language
processing (NLP) systems in improving the accuracy and efficiency of eligibility …
processing (NLP) systems in improving the accuracy and efficiency of eligibility …
Multilabel classification of medical concepts for patient clinical profile identification
C Gérardin, P Wajsbürt, P Vaillant, A Bellamine… - Artificial Intelligence in …, 2022 - Elsevier
Background The development of electronic health records has provided a large volume of
unstructured biomedical information. Extracting patient characteristics from these data has …
unstructured biomedical information. Extracting patient characteristics from these data has …