Natural Language Processing

Public Medical Appeals and Government Online Responses: Big Data Analysis Based on Chinese Digital Governance Platforms

Hebin Li, Zhihan Liu, Ziyan Zhang, Lu Ping, Wenxin Gu, Yuan Yao

J Med Internet Res 2025 (Aug 06); 27:e70087

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Evaluating the Performance of State-of-the-Art Artificial Intelligence Chatbots Based on the WHO Global Guidelines for the Prevention of Surgical Site Infection: Cross-Sectional Study

Tianyi Wang, Ruiyuan Chen, Baodong Wang, Congying Zou, Ning Fan, Shuo Yuan, Aobo Wang, Yu Xi, Lei Zang

J Med Internet Res 2025 (Jul 31); 27:e75567

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Large Language Model Symptom Identification From Clinical Text: Multicenter Study

Andrew J McMurry, Dylan Phelan, Brian E Dixon, Alon Geva, Daniel Gottlieb, James R Jones, Michael Terry, David E Taylor, Hannah Callaway, Sneha Manoharan, Timothy Miller, Karen L Olson, Kenneth D Mandl

J Med Internet Res 2025 (Jul 31); 27:e72984

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“Digital Clinicians” Performing Obesity Medication Self-Injection Education: Feasibility Randomized Controlled Trial

Sean Coleman, Caitríona Lynch, Hemendra Worlikar, Emily Kelly, Kate Loveys, Andrew J Simpkin, Jane C Walsh, Elizabeth Broadbent, Francis M Finucane, Derek O' Keeffe

JMIR Diabetes 2025 (Jul 30); 10:e63503

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Differential Analysis of Age, Gender, Race, Sentiment, and Emotion in Substance Use Discourse on Twitter During the COVID-19 Pandemic: A Natural Language Processing Approach

Julina Maharjan, Ruoming Jin, Jennifer King, Jianfeng Zhu, Deric Kenne

JMIR Infodemiology 2025 (Jul 28); 5:e67333

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A Weighted Voting Approach for Traditional Chinese Medicine Formula Classification Using Large Language Models: Algorithm Development and Validation Study

Zhe Wang, Keqian Li, Suyuan Peng, Lihong Liu, Xiaolin Yang, Keyu Yao, Heinrich Herre, Yan Zhu

JMIR Med Inform 2025 (Jul 24); 13:e69286

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Using Natural Language Processing to Identify Symptomatic Adverse Events in Pediatric Oncology: Tutorial for Clinician Researchers

Clifton P Thornton, Maryam Daniali, Lei Wang, Spandana Makeneni, Allison Barz Leahy

JMIR Bioinform Biotech 2025 (Jul 24); 6:e70751

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Improving Large Language Models’ Summarization Accuracy by Adding Highlights to Discharge Notes: Comparative Evaluation

Mahshad Koohi Habibi Dehkordi, Yehoshua Perl, Fadi P Deek, Zhe He, Vipina K Keloth, Hao Liu, Gai Elhanan, Andrew J Einstein

JMIR Med Inform 2025 (Jul 24); 13:e66476

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Training Language Models for Estimating Priority Levels in Ultrasound Examination Waitlists: Algorithm Development and Validation

Kanato Masayoshi, Masahiro Hashimoto, Naoki Toda, Hirozumi Mori, Goh Kobayashi, Hasnine Haque, Mizuki So, Masahiro Jinzaki

JMIR AI 2025 (Jul 22); 4:e68020

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Natural Language Processing for Identification of Hospitalized People Who Use Drugs: Cohort Study

Taisuke Sato, Emily D Grussing, Ruchi Patel, Jessica Ridgway, Joji Suzuki, Benjamin Sweigart, Robert Miller, Alysse G Wurcel

JMIR AI 2025 (Jul 18); 4:e63147

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Self-Disclosure and Social Support in a Web-Based Opioid Recovery Community: Machine Learning Analysis

Yu Chi, Huai-yu Chen, Khushboo Thaker

JMIR Form Res 2025 (Jul 17); 9:e71207

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Performance of Natural Language Processing versus International Classification of Diseases Codes in Building Registries for Patients With Fall Injury: Retrospective Analysis

Atta Taseh, Souri Sasanfar, Michelle Chan, Evan Sirls, Ara Nazarian, Kayhan Batmanghelich, Jonathan F Bean, Soheil Ashkani-Esfahani

JMIR Med Inform 2025 (Jul 14); 13:e66973

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Leveraging AI to Drive Timely Improvements in Patient Experience Feedback: Algorithm Validation

Mustafa Khanbhai, Catalina Carenzo, Sarindi Aryasinghe, David Manton, Erik Mayer

JMIR Med Inform 2025 (Jul 10); 13:e60900

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Predicting Drug–Side Effect Relationships From Parametric Knowledge Embedded in Biomedical BERT Models: Methodological Study With a Natural Language Processing Approach

Woohyuk Jeon, Minjae Park, Doyeon An, Wonshik Nam, Ju-Young Shin, Seunghee Lee, Suehyun Lee

JMIR Med Inform 2025 (Jul 10); 13:e67513

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Using Natural Language Processing to Describe the Use of an Online Community for Abortion During 2022: Dynamic Topic Modeling Analysis of Reddit Posts

Elizabeth Pleasants, Ndola Prata, Ushma D Upadhyay, Cassondra Marshall, Coye Cheshire

JMIR Infodemiology 2025 (Jul 09); 5:e72771

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Language Models for Multilabel Document Classification of Surgical Concepts in Exploratory Laparotomy Operative Notes: Algorithm Development Study

Jeremy A Balch, Sasank S Desaraju, Victoria J Nolan, Divya Vellanki, Timothy R Buchanan, Lindsey M Brinkley, Yordan Penev, Ahmet Bilgili, Aashay Patel, Corinne E Chatham, David M Vanderbilt, Rayon Uddin, Azra Bihorac, Philip Efron, Tyler J Loftus, Protiva Rahman, Benjamin Shickel

JMIR Med Inform 2025 (Jul 09); 13:e71176

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Association Between COVID-19 During Pregnancy and Preterm Birth by Trimester of Infection: Retrospective Cohort Study Using Large-Scale Social Media Data

Ari Z Klein, Shriya Kunatharaju, Su Golder, Lisa D Levine, Jane C Figueiredo, Graciela Gonzalez-Hernandez

J Med Internet Res 2025 (Jul 09); 27:e66097

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Toward Cross-Hospital Deployment of Natural Language Processing Systems: Model Development and Validation of Fine-Tuned Large Language Models for Disease Name Recognition in Japanese

Seiji Shimizu, Tomohiro Nishiyama, Hiroyuki Nagai, Shoko Wakamiya, Eiji Aramaki

JMIR Med Inform 2025 (Jul 08); 13:e76773

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Development and Validation of a Rule-Based Natural Language Processing Algorithm to Identify Falls in Inpatient Records of Older Adults: Retrospective Analysis

Xing Xing Qian, Pui Hing Chau, Daniel Y T Fong, Mandy Ho, Jean Woo

JMIR Aging 2025 (Jul 08); 8:e65195

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Using Large Language Models to Assess Burnout Among Health Care Workers in the Context of COVID-19 Vaccine Decisions and Health Beliefs: Retrospective Cohort Study

Samaneh Omranian, Lu He, AkkeNeel Talsma, Arielle A J Scoglio, Susan McRoy, Janet W Rich-Edwards

JMIR Nursing 2025 (Jul 04); 8:e73672

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