AIMC Topic: Electronic Health Records

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A deep learning approach for transgender and gender diverse patient identification in electronic health records.

Journal of biomedical informatics Sep 29, 2023
BACKGROUND: Although accurate identification of gender identity in the electronic health record (EHR) is crucial for providing equitable health care, particularly for transgender and gender diverse (TGD) populations, it remains a challenging task due...
Transgender Persons Gender Identity Male Deep Learning Adult Humans Electronic Health Records Algorithms Female
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TraumaICD Bidirectional Encoder Representation From Transformers: A Natural Language Processing Algorithm to Extract Injury International Classification of Diseases, 10th Edition Diagnosis Code From Free Text.

Annals of surgery Sep 27, 2023
OBJECTIVE: To develop and validate TraumaICDBERT, a natural language processing algorithm to predict injury International Classification of Diseases, 10th edition (ICD-10) diagnosis codes from trauma tertiary survey notes.
Humans Algorithms Wounds and Injuries Natural Language Processing International Classification of Diseases Electronic Health Records
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An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care.

Artificial intelligence in medicine Sep 14, 2023
Deep Learning (DL) models have received increasing attention in the clinical setting, particularly in intensive care units (ICU). In this context, the interpretability of the outcomes estimated by the DL models is an essential step towards increasing...
Humans Delirium Neural Networks, Computer Electronic Health Records Critical Care Deep Learning
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An interpretable deep learning framework for predicting liver metastases in postoperative colorectal cancer patients using natural language processing and clinical data integration.

Cancer medicine Sep 11, 2023
BACKGROUND: The significance of liver metastasis (LM) in increasing the risk of death for postoperative colorectal cancer (CRC) patients necessitates innovative approaches to predict LM.
Natural Language Processing Humans Colorectal Neoplasms Algorithms Deep Learning Electronic Health Records
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Blockchain-Powered Healthcare Systems: Enhancing Scalability and Security with Hybrid Deep Learning.

Sensors (Basel, Switzerland) Sep 7, 2023
The rapid advancements in technology have paved the way for innovative solutions in the healthcare domain, aiming to improve scalability and security while enhancing patient care. This abstract introduces a cutting-edge approach, leveraging blockchai...
Ecosystem Deep Learning Electronic Health Records Computer Security Blockchain Humans Delivery of Health Care
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Aci-bench: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation.

Scientific data Sep 6, 2023
Recent immense breakthroughs in generative models such as in GPT4 have precipitated re-imagined ubiquitous usage of these models in all applications. One area that can benefit by improvements in artificial intelligence (AI) is healthcare. The note ge...
Humans Benchmarking Health Facilities Artificial Intelligence Electronic Health Records
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Machine learning for administrative health records: A systematic review of techniques and applications.

Artificial intelligence in medicine Aug 27, 2023
Machine learning provides many powerful and effective techniques for analysing heterogeneous electronic health records (EHR). Administrative Health Records (AHR) are a subset of EHR collected for administrative purposes, and the use of machine learni...
Databases, Factual Medical Informatics Humans Electronic Health Records Machine Learning Delivery of Health Care
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Application of Natural Language Processing in Total Joint Arthroplasty: Opportunities and Challenges.

The Journal of arthroplasty Aug 22, 2023
Total joint arthroplasty is becoming one of the most common surgeries within the United States, creating an abundance of analyzable data to improve patient experience and outcomes. Unfortunately, a large majority of this data is concealed in electron...
Electronic Health Records Natural Language Processing Language Humans Arthroplasty Artificial Intelligence
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Demystifying Statistics and Machine Learning in Analysis of Structured Tabular Data.

The Journal of arthroplasty Aug 19, 2023
Electronic health records have facilitated the extraction and analysis of a vast amount of data with many variables for clinical care and research. Conventional regression-based statistical methods may not capture all the complexities in high-dimensi...
Humans Machine Learning Electronic Health Records
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Identifying the most important data for research in the field of infectious diseases: thinking on the basis of artificial intelligence.

Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia Aug 12, 2023
OBJECTIVE: Clinical data on which artificial intelligence (AI) algorithms are trained and tested provide the basis to improve diagnosis or treatment of infectious diseases (ID). We aimed to identify important data for ID research to prioritise effort...
Humans Algorithms Artificial Intelligence Electronic Health Records
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