Applications of AI

Leveraging Temporal Trends for Training Contextual Word Embeddings to Address Bias in Biomedical Applications: Development Study

Shunit Agmon, Uriel Singer, Kira Radinsky

JMIR AI 2024 (Oct 02); 3:e49546

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Impact of a Digital Scribe System on Clinical Documentation Time and Quality: Usability Study

Marieke Meija van Buchem, Ilse M J Kant, Liza King, Jacqueline Kazmaier, Ewout W Steyerberg, Martijn P Bauer

JMIR AI 2024 (Sep 23); 3:e60020

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Predictive Modeling of Hypertension-Related Postpartum Readmission: Retrospective Cohort Analysis

Jinxin Tao, Ramsey G Larson, Yonatan Mintz, Oguzhan Alagoz, Kara K Hoppe

JMIR AI 2024 (Sep 13); 3:e48588

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Near Real-Time Syndromic Surveillance of Emergency Department Triage Texts Using Natural Language Processing: Case Study in Febrile Convulsion Detection

Sedigh Khademi, Christopher Palmer, Muhammad Javed, Gerardo Luis Dimaguila, Hazel Clothier, Jim Buttery, Jim Black

JMIR AI 2024 (Aug 30); 3:e54449

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Exploring Machine Learning Applications in Pediatric Asthma Management: Scoping Review

Tanvi Ojha, Atushi Patel, Krishihan Sivapragasam, Radha Sharma, Tina Vosoughi, Becky Skidmore, Andrew D Pinto, Banafshe Hosseini

JMIR AI 2024 (Aug 27); 3:e57983

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Approaches for the Use of AI in Workplace Health Promotion and Prevention: Systematic Scoping Review

Martin Lange, Alexandra Löwe, Ina Kayser, Andrea Schaller

JMIR AI 2024 (Aug 20); 3:e53506

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Evaluating Literature Reviews Conducted by Humans Versus ChatGPT: Comparative Study

Mehrnaz Mostafapour, Jacqueline H Fortier, Karen Pacheco, Heather Murray, Gary Garber

JMIR AI 2024 (Aug 19); 3:e56537

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The “Magical Theory” of AI in Medicine: Thematic Narrative Analysis

Giorgia Lorenzini, Laura Arbelaez Ossa, Stephen Milford, Bernice Simone Elger, David Martin Shaw, Eva De Clercq

JMIR AI 2024 (Aug 19); 3:e49795

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Evaluation of Generative Language Models in Personalizing Medical Information: Instrument Validation Study

Aidin Spina, Saman Andalib, Daniel Flores, Rishi Vermani, Faris F Halaseh, Ariana M Nelson

JMIR AI 2024 (Aug 13); 3:e54371

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Enhancing Clinical Relevance of Pretrained Language Models Through Integration of External Knowledge: Case Study on Cardiovascular Diagnosis From Electronic Health Records

Qiuhao Lu, Andrew Wen, Thien Nguyen, Hongfang Liu

JMIR AI 2024 (Aug 06); 3:e56932

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Comparing the Efficacy and Efficiency of Human and Generative AI: Qualitative Thematic Analyses

Maximo R Prescott, Samantha Yeager, Lillian Ham, Carlos D Rivera Saldana, Vanessa Serrano, Joey Narez, Dafna Paltin, Jorge Delgado, David J Moore, Jessica Montoya

JMIR AI 2024 (Aug 02); 3:e54482

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Can Large Language Models Replace Therapists? Evaluating Performance at Simple Cognitive Behavioral Therapy Tasks

Nathan Hodson, Simon Williamson

JMIR AI 2024 (Jul 30); 3:e52500

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Regulatory Frameworks for AI-Enabled Medical Device Software in China: Comparative Analysis and Review of Implications for Global Manufacturer

Yu Han, Aaron Ceross, Jeroen Bergmann

JMIR AI 2024 (Jul 29); 3:e46871

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Use of Deep Neural Networks to Predict Obesity With Short Audio Recordings: Development and Usability Study

Jingyi Huang, Peiqi Guo, Sheng Zhang, Mengmeng Ji, Ruopeng An

JMIR AI 2024 (Jul 25); 3:e54885

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Enhancing Type 2 Diabetes Treatment Decisions With Interpretable Machine Learning Models for Predicting Hemoglobin A1c Changes: Machine Learning Model Development

Hisashi Kurasawa, Kayo Waki, Tomohisa Seki, Akihiro Chiba, Akinori Fujino, Katsuyoshi Hayashi, Eri Nakahara, Tsuneyuki Haga, Takashi Noguchi, Kazuhiko Ohe

JMIR AI 2024 (Jul 18); 3:e56700

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Augmenting Telepostpartum Care With Vision-Based Detection of Breastfeeding-Related Conditions: Algorithm Development and Validation

Jessica De Souza, Varun Kumar Viswanath, Jessica Maria Echterhoff, Kristina Chamberlain, Edward Jay Wang

JMIR AI 2024 (Jun 24); 3:e54798

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Toward Clinical Generative AI: Conceptual Framework

Nicola Luigi Bragazzi, Sergio Garbarino

JMIR AI 2024 (Jun 07); 3:e55957

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Understanding the Long Haulers of COVID-19: Mixed Methods Analysis of YouTube Content

Alexis Jordan, Albert Park

JMIR AI 2024 (Jun 03); 3:e54501

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Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and Validation

Masao Noda, Hidekane Yoshimura, Takuya Okubo, Ryota Koshu, Yuki Uchiyama, Akihiro Nomura, Makoto Ito, Yutaka Takumi

JMIR AI 2024 (May 31); 3:e58342

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Identifying Patterns of Smoking Cessation App Feature Use That Predict Successful Quitting: Secondary Analysis of Experimental Data Leveraging Machine Learning

Leeann Nicole Siegel, Kara P Wiseman, Alex Budenz, Yvonne Prutzman

JMIR AI 2024 (May 22); 3:e51756

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