Artificial Intelligence

Predicting the Risk of Sleep Disorders Using a Machine Learning–Based Simple Questionnaire: Development and Validation Study

Seokmin Ha, Su Jung Choi, Sujin Lee, Reinatt Hansel Wijaya, Jee Hyun Kim, Eun Yeon Joo, Jae Kyoung Kim

J Med Internet Res 2023 (Sep 21); 25:e46520

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Development and Integration of Machine Learning Algorithm to Identify Peripheral Arterial Disease: Multistakeholder Qualitative Study

Sabrina M Wang, H D Jeffry Hogg, Devdutta Sangvai, Manesh R Patel, E Hope Weissler, Katherine C Kellogg, William Ratliff, Suresh Balu, Mark Sendak

JMIR Form Res 2023 (Sep 21); 7:e43963

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Large-Scale Biomedical Relation Extraction Across Diverse Relation Types: Model Development and Usability Study on COVID-19

Zeyu Zhang, Meng Fang, Rebecca Wu, Hui Zong, Honglian Huang, Yuantao Tong, Yujia Xie, Shiyang Cheng, Ziyi Wei, M James C Crabbe, Xiaoyan Zhang, Ying Wang

J Med Internet Res 2023 (Sep 20); 25:e48115

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Anki Tagger: A Generative AI Tool for Aligning Third-Party Resources to Preclinical Curriculum

Tricia Pendergrast, Zachary Chalmers

JMIR Med Educ 2023 (Sep 20); 9:e48780

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Using Social Media to Help Understand Patient-Reported Health Outcomes of Post–COVID-19 Condition: Natural Language Processing Approach

Elham Dolatabadi, Diana Moyano, Michael Bales, Sofija Spasojevic, Rohan Bhambhoria, Junaid Bhatti, Shyamolima Debnath, Nicholas Hoell, Xin Li, Celine Leng, Sasha Nanda, Jad Saab, Esmat Sahak, Fanny Sie, Sara Uppal, Nirma Khatri Vadlamudi, Antoaneta Vladimirova, Artur Yakimovich, Xiaoxue Yang, Sedef Akinli Kocak, Angela M Cheung

J Med Internet Res 2023 (Sep 19); 25:e45767

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Patients’ Views on AI for Risk Prediction in Shared Decision-Making for Knee Replacement Surgery: Qualitative Interview Study

Daniel J Gould, Michelle M Dowsey, Marion Glanville-Hearst, Tim Spelman, James A Bailey, Peter F M Choong, Samantha Bunzli

J Med Internet Res 2023 (Sep 18); 25:e43632

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The Potential of ChatGPT as a Self-Diagnostic Tool in Common Orthopedic Diseases: Exploratory Study

Tomoyuki Kuroiwa, Aida Sarcon, Takuya Ibara, Eriku Yamada, Akiko Yamamoto, Kazuya Tsukamoto, Koji Fujita

J Med Internet Res 2023 (Sep 15); 25:e47621

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Bot or Not? Detecting and Managing Participant Deception When Conducting Digital Research Remotely: Case Study of a Randomized Controlled Trial

Gemma Loebenberg, Melissa Oldham, Jamie Brown, Larisa Dinu, Susan Michie, Matt Field, Felix Greaves, Claire Garnett

J Med Internet Res 2023 (Sep 14); 25:e46523

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Estimating Patient Satisfaction Through a Language Processing Model: Model Development and Evaluation

Shinichi Matsuda, Takumi Ohtomo, Masaru Okuyama, Hiraku Miyake, Kotonari Aoki

JMIR Form Res 2023 (Sep 14); 7:e48534

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Shaping the Future of Older Adult Care: ChatGPT, Advanced AI, and the Transformation of Clinical Practice

Kathleen Fear, Conrad Gleber

JMIR Aging 2023 (Sep 13); 6:e51776

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Determinants of Intravenous Infusion Longevity and Infusion Failure via a Nonlinear Model Analysis of Smart Pump Event Logs: Retrospective Study

Arash Kia, James Waterson, Norma Bargary, Stuart Rolt, Kevin Burke, Jeremy Robertson, Samuel Garcia, Alessio Benavoli, David Bergström

JMIR AI 2023 (Sep 13); 2:e48628

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Predicting the 5-Year Risk of Nonalcoholic Fatty Liver Disease Using Machine Learning Models: Prospective Cohort Study

Guoqing Huang, Qiankai Jin, Yushan Mao

J Med Internet Res 2023 (Sep 12); 25:e46891

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Construction of an Emotional Lexicon of Patients With Breast Cancer: Development and Sentiment Analysis

Chaixiu Li, Jiaqi Fu, Jie Lai, Lijun Sun, Chunlan Zhou, Wenji Li, Biao Jian, Shisi Deng, Yujie Zhang, Zihan Guo, Yusheng Liu, Yanni Zhou, Shihui Xie, Mingyue Hou, Ru Wang, Qinjie Chen, Yanni Wu

J Med Internet Res 2023 (Sep 12); 25:e44897

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Navigating the AI Revolution: The Case for Precise Regulation in Health Care

Sandeep Reddy

J Med Internet Res 2023 (Sep 11); 25:e49989

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Clinical Accuracy of Large Language Models and Google Search Responses to Postpartum Depression Questions: Cross-Sectional Study

Emre Sezgin, Faraaz Chekeni, Jennifer Lee, Sarah Keim

J Med Internet Res 2023 (Sep 11); 25:e49240

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Machine Learning for the Prediction of Procedural Case Durations Developed Using a Large Multicenter Database: Algorithm Development and Validation Study

Samir Kendale, Andrew Bishara, Michael Burns, Stuart Solomon, Matthew Corriere, Michael Mathis

JMIR AI 2023 (Sep 08); 2:e44909

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Combinatorial Use of Machine Learning and Logistic Regression for Predicting Carotid Plaque Risk Among 5.4 Million Adults With Fatty Liver Disease Receiving Health Check-Ups: Population-Based Cross-Sectional Study

Yuhan Deng, Yuan Ma, Jingzhu Fu, Xiaona Wang, Canqing Yu, Jun Lv, Sailimai Man, Bo Wang, Liming Li

JMIR Public Health Surveill 2023 (Sep 07); 9:e47095

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An Explainable Artificial Intelligence Software Tool for Weight Management Experts (PRIMO): Mixed Methods Study

Glenn J Fernandes, Arthur Choi, Jacob Michael Schauer, Angela F Pfammatter, Bonnie J Spring, Adnan Darwiche, Nabil I Alshurafa

J Med Internet Res 2023 (Sep 06); 25:e42047

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Applications of Natural Language Processing for the Management of Stroke Disorders: Scoping Review

Helios De Rosario, Salvador Pitarch-Corresa, Ignacio Pedrosa, Marina Vidal-Pedrós, Beatriz de Otto-López, Helena García-Mieres, Lydia Álvarez-Rodríguez

JMIR Med Inform 2023 (Sep 06); 11:e48693

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Assessing Health Students' Attitudes and Usage of ChatGPT in Jordan: Validation Study

Malik Sallam, Nesreen A Salim, Muna Barakat, Kholoud Al-Mahzoum, Ala'a B Al-Tammemi, Diana Malaeb, Rabih Hallit, Souheil Hallit

JMIR Med Educ 2023 (Sep 05); 9:e48254

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