AIMC Topic: Natural Language Processing

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MolLM: a unified language model for integrating biomedical text with 2D and 3D molecular representations.

Bioinformatics (Oxford, England)
MOTIVATION: The current paradigm of deep learning models for the joint representation of molecules and text primarily relies on 1D or 2D molecular formats, neglecting significant 3D structural information that offers valuable physical insight. This n...

Machine learning natural language processing for identifying venous thromboembolism: systematic review and meta-analysis.

Blood advances
Venous thromboembolism (VTE) is a leading cause of preventable in-hospital mortality. Monitoring VTE cases is limited by the challenges of manual medical record review and diagnosis code interpretation. Natural language processing (NLP) can automate ...

Comparing the quality of ChatGPT- and physician-generated responses to patients' dermatology questions in the electronic medical record.

Clinical and experimental dermatology
BACKGROUND: ChatGPT is a free artificial intelligence (AI)-based natural language processing tool that generates complex responses to inputs from users.

A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction.

Journal of the American Medical Informatics Association : JAMIA
BACKGROUND: Error analysis plays a crucial role in clinical concept extraction, a fundamental subtask within clinical natural language processing (NLP). The process typically involves a manual review of error types, such as contextual and linguistic ...

Comparing natural language processing representations of coded disease sequences for prediction in electronic health records.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Natural language processing (NLP) algorithms are increasingly being applied to obtain unsupervised representations of electronic health record (EHR) data, but their comparative performance at predicting clinical endpoints remains unclear. ...

Analysis of the Formation of Scientific Communities in the Journal Research and Education in Nursing (2010 - 2020) and its Disciplinary Influence: an Approach from Bibliometric Analysis, Network Analysis, and Natural Language Processing.

Investigacion y educacion en enfermeria
OBJECTIVE: This work sought to identify the academic communities that have shown interest and participation in the Journal Research and Education in Nursing and analyze the scientific impact generated by said journal.

Using natural language processing to link patients' narratives to visual capabilities and sentiments.

Optometry and vision science : official publication of the American Academy of Optometry
SIGNIFICANCE: Analyzing narratives in patients' medical records using a framework that combines natural language processing (NLP) and machine learning may help uncover the underlying patterns of patients' visual capabilities and challenges that they ...

Assessing artificial intelligence responses to common patient questions regarding inflatable penile prostheses using a publicly available natural language processing tool (ChatGPT).

The Canadian journal of urology
INTRODUCTION: The evolving landscape of healthcare information dissemination has been dramatically influenced by the rise of artificial intelligence (AI) driven chatbots, providing patients with accessible and interactive platforms to obtain knowledg...

Extracting Systemic Anticancer Therapy and Response Information From Clinical Notes Following the RECIST Definition.

JCO clinical cancer informatics
PURPOSE: The RECIST guidelines provide a standardized approach for evaluating the response of cancer to treatment, allowing for consistent comparison of treatment efficacy across different therapies and patients. However, collecting such information ...