Natural Language Processing
Articles published in 2026 in this theme: 181 (scroll down to load remaining articles)
2026
Automating Injury Severity Score Calculation From Free-Text Discharge Diagnoses Using Domain-Specific Retrieval-Augmented Large Language Models: Retrospective Validation Study
JMIR Med Inform 2026 (Oct 13); 14:e93922
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Ensemble of Domain-Specific Natural Language Processing and Large Language Models for Detecting Suicidal Ideation and Mental Health Conditions in Social Media Text: Development and Evaluation Study
JMIR Ment Health 2026 (Oct 08); 13:e98925
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Identifying Public Response Topics to the Centers for Disease Control and Prevention’s COVID-19 Communications on Social Media: Infoveillance Study Using Large Language Model–Based Rephrasing
JMIR Infodemiology 2026 (Oct 08); 6:e98319
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Extraction of Pain Severity and Functional Interference From Clinical Narratives Using Domain-Informed Large Language Models: Protocol for a Development and Validation Study
JMIR Res Protoc 2026 (Oct 07); 15:e96346
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AI-Based Structured Information Extraction From Synthetic Nursing Handover Transcripts: Comparative Evaluation of Large Language Models
JMIR Nursing 2026 (Oct 05); 9:e106133
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Exploring Conversational Dynamics in Scientific and Pseudoscientific Health Communities on YouTube: Process Mining and Network Analysis Study
J Med Internet Res 2026 (Oct 02); 28:e95273
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Electronic Health Record–Based Phenotyping for Obsessive-Compulsive Disorder: Algorithm Development and Multicenter Validation Study
JMIR Ment Health 2026 (Oct 02); 13:e89213
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Leveraging Generative Large Language Models for Temporal Relation Extraction From French Clinical Narratives: Prompt-Chaining Approach
J Med Internet Res 2026 (Sep 30); 28:e95198
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Detecting Misspelled Drug Names Using Transformer-Based Language Models: Model Development and External Validation
JMIR Med Inform 2026 (Sep 29); 14:e91151
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Machine Learning to Prioritize High-Severity Patient Safety Events for Institutional Investigation: Algorithm Development and Validation Study
JMIR Med Inform 2026 (Sep 29); 14:e101393
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Cloud-Based and Locally Deployed Language Models in Nursing and Health Care: An AI Act–Aligned Framework
JMIR Med Inform 2026 (Sep 25); 14:e90854
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Symptom Terminology Normalization in Traditional Chinese Medicine: Development and Evaluation of a 2-Stage Deep Learning Framework Based on Fine-Grained Semantic Classification
JMIR Med Inform 2026 (Sep 25); 14:e85825
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Assessing the Need for Mental Health Support From Free-Text Responses: Development and Validation of Language-Based Assessments in Adults With Internalizing Symptoms
JMIR Ment Health 2026 (Sep 25); 13:e105460
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Automated Brief Hospital Course Summarization in Cardiac Surgery Using a Lightweight Large Language Model–Based Framework: Development and Evaluation Study on the Medical Information Mart for Intensive Care-IV
J Med Internet Res 2026 (Sep 24); 28:e90870
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Practical Guide to Large Language Models for Information Extraction in Behavioral Health Notes: Tutorial
JMIR Ment Health 2026 (Sep 24); 13:e97498
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Demographics, Clinical Content, Use Patterns, and Care-Seeking Intent Across Two Generations of AI-Enabled Clinical Triage Tools (A Traditional Structured Questionnaire and a Large Language Model–Enabled Conversational Interface): Comparative Retrospective Observational Study
JMIR AI 2026 (Sep 22); 5:e84469
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Process-Oriented, Behaviorally Anchored Assessment of Clinical Reasoning in Large Language Models and the Effect of Extended Thinking: Protocol for a Prospective, Multigroup, Comparative Study
JMIR Res Protoc 2026 (Sep 22); 15:e103220
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Large Language Models for Clinical Data Extraction in Workplace Injury Rehabilitation: Protocol for a Retrospective Pilot Study of Accuracy, Fairness, and Methodological Considerations in Workers’ Compensation Medical Chart Review
JMIR Res Protoc 2026 (Sep 22); 15:e99807
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Semantic Similarity Search Approach to Extract Exemplars of Stigmatizing and Positive Language in Obstetric Clinical Notes: Exploratory Study
JMIR Med Inform 2026 (Sep 22); 14:e85088
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Improving Reliability and Explainability of Medical Question Answering Through Atomic Fact-Checking in Retrieval-Augmented Large Language Models: Creation and Validation Study
J Med Internet Res 2026 (Sep 21); 28:e92090
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