AIMC Topic: Natural Language Processing

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Extracting Pulmonary Embolism Diagnoses From Radiology Impressions Using GPT-4o: Large Language Model Evaluation Study.

JMIR medical informatics Apr 9, 2025
BACKGROUND: Pulmonary embolism (PE) is a critical condition requiring rapid diagnosis to reduce mortality. Extracting PE diagnoses from radiology reports manually is time-consuming, highlighting the need for automated solutions. Advances in natural l...
Humans Pulmonary Embolism Large Language Models Natural Language Processing
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Improving Phenotyping of Patients With Immune-Mediated Inflammatory Diseases Through Automated Processing of Discharge Summaries: Multicenter Cohort Study.

JMIR medical informatics Apr 9, 2025
BACKGROUND: Valuable insights gathered by clinicians during their inquiries and documented in textual reports are often unavailable in the structured data recorded in electronic health records (EHRs).
Humans Patient Discharge Summaries Algorithms Middle Aged Cohort Studies Autoimmune Diseases Female Phenotype Data Mining Adult Electronic Health Records Natural Language Processing Male
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Establishing a Validation Framework of Treatment Discontinuation in Claims Data Using Natural Language Processing and Electronic Health Records.

Clinical pharmacology and therapeutics Apr 8, 2025
Measuring medication discontinuation in claims data primarily relies on the gaps between prescription fills, but such definitions are rarely validated. This study aimed to establish a natural language processing (NLP)-based validation framework to ev...
Male United States Natural Language Processing Aged Aged, 80 and over Antipsychotic Agents Insurance Claim Review Medicare Part D Anticoagulants Warfarin Humans Electronic Health Records Algorithms Female
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Low-cost algorithms for clinical notes phenotype classification to enhance epidemiological surveillance: A case study.

Journal of biomedical informatics Apr 8, 2025
OBJECTIVE: Our study aims to enhance epidemic intelligence through event-based surveillance in an emerging pandemic context. We classified electronic health records (EHRs) from La Rioja, Argentina, focusing on predicting COVID-19-related categories i...
COVID-19 Algorithms Phenotype Humans Pandemics Epidemiological Monitoring Logistic Models Natural Language Processing Argentina Electronic Health Records SARS-CoV-2
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A Causality-Aware Paradigm for Evaluating Creativity of Multimodal Large Language Models.

IEEE transactions on pattern analysis and machine intelligence Apr 8, 2025
Recently, numerous benchmarks have been developed to evaluate the logical reasoning abilities of large language models (LLMs). However, assessing the equally important creative capabilities of LLMs is challenging due to the subjective, diverse, and d...
Large Language Models Creativity Algorithms Language Natural Language Processing Humans
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Aligning, Autoencoding and Prompting Large Language Models for Novel Disease Reporting.

IEEE transactions on pattern analysis and machine intelligence Apr 8, 2025
Given radiology images, automatic radiology report generation aims to produce informative text that reports diseases. It can benefit current clinical practice in diagnostic radiology. Existing methods typically rely on large-scale medical datasets an...
Natural Language Processing Radiology Information Systems Large Language Models SARS-CoV-2 Deep Learning COVID-19 Algorithms Humans
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Analysing similarities between legal court documents using natural language processing approaches based on transformers.

PloS one Apr 8, 2025
Recent advancements in Artificial Intelligence have yielded promising results in addressing complex challenges within Natural Language Processing (NLP), serving as a vital tool for expediting judicial proceedings in the legal domain. This study focus...
Artificial Intelligence Humans Brazil Natural Language Processing
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Prompting large language models to extract chemical‒disease relation precisely and comprehensively at the document level: an evaluation study.

PloS one Apr 8, 2025
Given the scarcity of annotated data, current deep learning methods face challenges in the field of document-level chemical-disease relation extraction, making it difficult to achieve precise relation extraction capable of identifying relation types ...
Workflow Data Mining Large Language Models Language Humans Deep Learning Natural Language Processing
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Year 2023 in Biomedical Natural Language Processing: a Tribute to Large Language Models and Generative AI.

Yearbook of medical informatics Apr 8, 2025
OBJECTIVES: This synopsis gives insights into scientific publications from 2023 in Natural Language Processing for the biomedical domain. We present the process we followed to identify candidates for NLP's best papers and the two best papers of this ...
Social Media Natural Language Processing Large Language Models Electronic Health Records Deep Learning Humans Artificial Intelligence
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Natural Language Processing for Digital Health in the Era of Large Language Models.

Yearbook of medical informatics Apr 8, 2025
OBJECTIVES: Large language models (LLMs) are revolutionizing the natural language pro-cessing (NLP) landscape within healthcare, prompting the need to synthesize the latest ad-vancements and their diverse medical applications. We attempt to summarize...
Large Language Models Electronic Health Records Social Media Natural Language Processing Humans Digital Health
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