AIMC Topic: Confidentiality

Clear Filters Showing 121 to 130 of 182 articles

Automatic de-identification of electronic medical records using token-level and character-level conditional random fields.

Journal of biomedical informatics Jun 26, 2015
De-identification, identifying and removing all protected health information (PHI) present in clinical data including electronic medical records (EMRs), is a critical step in making clinical data publicly available. The 2014 i2b2 (Center of Informati...
Pattern Recognition, Automated Computer Security Vocabulary, Controlled Confidentiality Data Mining Electronic Health Records China Cohort Studies Narration Natural Language Processing Data Interpretation, Statistical
View on PubMed DOI

Annotating risk factors for heart disease in clinical narratives for diabetic patients.

Journal of biomedical informatics May 21, 2015
The 2014 i2b2/UTHealth natural language processing shared task featured a track focused on identifying risk factors for heart disease (specifically, Cardiac Artery Disease) in clinical narratives. For this track, we used a "light" annotation paradigm...
Narration Natural Language Processing Coronary Artery Disease Confidentiality Data Mining Documentation Incidence Cohort Studies Longitudinal Studies Risk Assessment Comorbidity Vocabulary, Controlled Aged Diabetes Complications New York Male Boston Pattern Recognition, Automated Middle Aged Computer Security Humans Electronic Health Records Female
View on PubMed DOI

Evaluation of PHI Hunter in Natural Language Processing Research.

Perspectives in health information management Jan 1, 2015
OBJECTIVES: We introduce and evaluate a new, easily accessible tool using a common statistical analysis and business analytics software suite, SAS, which can be programmed to remove specific protected health information (PHI) from a text document. Re...
Natural Language Processing Confidentiality United States Department of Veterans Affairs Biomedical Research United States Humans Software Electronic Health Records
View on PubMed

A Hybrid Natural Language Processing Platform for Multi-Site RWD Studies.

Studies in health technology and informatics Aug 7, 2025
Real-world data (RWD) obtained from electronic medical records has become a valuable resource for healthcare research. However, integrating unstructured free-text clinical data remains a significant challenge. Although natural language processing (NL...
Data Mining Electronic Health Records Natural Language Processing Confidentiality Humans
View on PubMed DOI

Evaluation of Federated Learning Using Standardized EHR Data in Japan.

Studies in health technology and informatics Aug 7, 2025
This study addresses privacy concerns in multi-institutional data sharing by applying federated learning (FL) to develop a predictive model for prolonged air leaks (PAL) following video-assisted thoracoscopic surgery (VATS). Utilizing standardized el...
Humans Machine Learning Japan Information Dissemination Federated Learning Electronic Health Records Confidentiality Thoracic Surgery, Video-Assisted
View on PubMed DOI

A comparative analysis of privacy-preserving large language models for automated echocardiography report analysis.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2025
BACKGROUND: Automated data extraction from echocardiography reports could facilitate large-scale registry creation and clinical surveillance of valvular heart diseases (VHD). We evaluated the performance of open-source large language models (LLMs) gu...
Heart Valve Diseases Natural Language Processing Humans Information Storage and Retrieval Confidentiality Echocardiography Large Language Models Programming Languages
View on PubMed DOI

The potential of artificial intelligence to transform medicine.

Current opinion in pediatrics Jun 1, 2025
PURPOSE OF REVIEW: Increased incorporation of artificial intelligence in medicine has raised questions regarding how it can enhance efficiency in concert with providing accurate medical information without violating patient privacy. Pediatricians sho...
Humans Artificial Intelligence Electronic Health Records Confidentiality Pediatrics
View on PubMed DOI

Evaluating LLMs' Potential to Identify Rare Patient Identifiers in Patient Health Records.

Studies in health technology and informatics May 15, 2025
This study explores the utility of Large Language Models (LLMs) to support finding rare patient record details that could make a patient identifiable. Whilst most research has focused on what we call direct patient identifiers, indirect patient ident...
Humans Electronic Health Records Natural Language Processing Programming Languages Patient Identification Systems Confidentiality Data Anonymization
View on PubMed DOI

Privacy-Protecting Image Classification Within the Web Browser Using Deep Learning Models from Zenodo.

Studies in health technology and informatics May 15, 2025
Integrating deep learning into clinical workflows for medical image analysis holds promise for improving diagnostic accuracy. However, strict data privacy regulations and the sensitivity of clinical IT infrastructure limit the deployment of cloud-bas...
Humans Computer Security Web Browser Deep Learning Workflow Confidentiality
View on PubMed DOI

Ethics From the Outset: Incorporating Ethical Considerations into the Artificial Intelligence and Technology Collaboratories for Aging Research Pilot Projects.

The journals of gerontology. Series A, Biological sciences and medical sciences May 5, 2025
There is an urgent need to develop tools to enable older adults to live healthy, independent lives for as long as possible. To address this need, the National Institute on Aging (NIA) Artificial Intelligence and Technology Collaboratories (AITCs) for...
Aging Pilot Projects United States Artificial Intelligence Aged Biomedical Research Confidentiality Alzheimer Disease National Institute on Aging (U.S.) Humans
View on PubMed DOI
Popular Topics
Recent Journals