AIMC Topic: Electronic Health Records
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MultiADE: A Multi-domain benchmark for Adverse Drug Event extraction.
Journal of biomedical informatics
Nov 12, 2024
OBJECTIVE: Active adverse event surveillance monitors Adverse Drug Events (ADE) from different data sources, such as electronic health records, medical literature, social media and search engine logs. Over the years, many datasets have been created, ...
Shareable artificial intelligence to extract cancer outcomes from electronic health records for precision oncology research.
Nature communications
Nov 12, 2024
Databases that link molecular data to clinical outcomes can inform precision cancer research into novel prognostic and predictive biomarkers. However, outside of clinical trials, cancer outcomes are typically recorded only in text form within electro...
Machine Learning for Mental Health: Applications, Challenges, and the Clinician's Role.
Current psychiatry reports
Nov 11, 2024
PURPOSE OF REVIEW: This review aims to evaluate the current psychiatric applications and limitations of machine learning (ML), defined as techniques used to train algorithms to improve performance at a task based on data. The review emphasizes the cl...
Automated real-world data integration improves cancer outcome prediction.
Nature
Nov 6, 2024
The digitization of health records and growing availability of tumour DNA sequencing provide an opportunity to study the determinants of cancer outcomes with unprecedented richness. Patient data are often stored in unstructured text and siloed datase...
Multi-label text classification via secondary use of large clinical real-world data sets.
Scientific reports
Nov 6, 2024
Procedural coding presents a taxing challenge for clinicians. However, recent advances in natural language processing offer a promising avenue for developing applications that assist clinicians, thereby alleviating their administrative burdens. This ...
Medical Information Extraction With NLP-Powered QABots: A Real-World Scenario.
IEEE journal of biomedical and health informatics
Nov 6, 2024
The advent of computerized medical recording systems in healthcare facilities has made data retrieval tasks easier, compared to manual recording. Nevertheless, the potential of the information contained within medical records remains largely untapped...
The Effect of Ambient Artificial Intelligence Notes on Provider Burnout.
Applied clinical informatics
Nov 5, 2024
BACKGROUND: Healthcare provider burnout is a critical issue with significant implications for individual well-being, patient care, and healthcare system efficiency. Addressing burnout is essential for improving both provider well-being and the quali...
Development and validation of a novel AI framework using NLP with LLM integration for relevant clinical data extraction through automated chart review.
Scientific reports
Nov 5, 2024
The accurate extraction of surgical data from electronic health records (EHRs), particularly operative notes through manual chart review (MCR), is complex, crucial, and time-intensive, limited by human error due to fatigue and the level of training. ...
Natural Language Processing of Clinical Documentation to Assess Functional Status in Patients With Heart Failure.
JAMA network open
Nov 4, 2024
IMPORTANCE: Serial functional status assessments are critical to heart failure (HF) management but are often described narratively in documentation, limiting their use in quality improvement or patient selection for clinical trials.
NSSC: a neuro-symbolic AI system for enhancing accuracy of named entity recognition and linking from oncologic clinical notes.
Medical & biological engineering & computing
Nov 1, 2024
Accurate recognition and linking of oncologic entities in clinical notes is essential for extracting insights across cancer research, patient care, clinical decision-making, and treatment optimization. We present the Neuro-Symbolic System for Cancer ...
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