[HTML][HTML] 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 …
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 …
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 …
[HTML][HTML] 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 …
Combining human and machine intelligence for clinical trial eligibility querying
Objective To combine machine efficiency and human intelligence for converting complex
clinical trial eligibility criteria text into cohort queries. Materials and Methods Criteria2Query …
clinical trial eligibility criteria text into cohort queries. Materials and Methods Criteria2Query …
[HTML][HTML] Matching patients to clinical trials using semantically enriched document representation
Recruiting eligible patients for clinical trials is crucial for reliably answering specific
questions about medical interventions and evaluation. However, clinical trial recruitment is a …
questions about medical interventions and evaluation. However, clinical trial recruitment is a …
Automated‐detection of risky alcohol use prior to surgery using natural language processing
Background Preoperative risky alcohol use is one of the most common surgical risk factors.
Accurate and early identification of risky alcohol use could enhance surgical safety. Artificial …
Accurate and early identification of risky alcohol use could enhance surgical safety. Artificial …
[HTML][HTML] Evaluation of Doc'EDS: a French semantic search tool to query health documents from a clinical data warehouse
T Pressat-Laffouilhère, P Balayé, B Dahamna… - BMC medical informatics …, 2022 - Springer
Background Unstructured data from electronic health records represent a wealth of
information. Doc'EDS is a pre-screening tool based on textual and semantic analysis. The …
information. Doc'EDS is a pre-screening tool based on textual and semantic analysis. The …
[HTML][HTML] Identifying caregiver availability using medical notes with rule-based natural language processing: retrospective cohort study
Background: Identifying caregiver availability, particularly for patients with dementia or those
with a disability, is critical to informing the appropriate care planning by the health systems …
with a disability, is critical to informing the appropriate care planning by the health systems …
[HTML][HTML] Cohort selection for clinical trials from longitudinal patient records: text mining approach
I Spasic, D Krzeminski, P Corcoran… - JMIR medical …, 2019 - medinform.jmir.org
Background: Clinical trials are an important step in introducing new interventions into clinical
practice by generating data on their safety and efficacy. Clinical trials need to ensure that …
practice by generating data on their safety and efficacy. Clinical trials need to ensure that …