Artificial Intelligence

Machine Learning Approaches for Predicting Psoriatic Arthritis Risk Using Electronic Medical Records: Population-Based Study

Leon Tsung-Ju Lee, Hsuan-Chia Yang, Phung Anh Nguyen, Muhammad Solihuddin Muhtar, Yu-Chuan Jack Li

J Med Internet Res 2023;25:e39972

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Predicting Generalized Anxiety Disorder From Impromptu Speech Transcripts Using Context-Aware Transformer-Based Neural Networks: Model Evaluation Study

Bazen Gashaw Teferra, Jonathan Rose

JMIR Ment Health 2023;10:e44325

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Predicting Social Determinants of Health in Patient Navigation: Case Study

Francisco Iacobelli, Anna Yang, Laura Tom, Ivy S Leung, John Crissman, Rufino Salgado, Melissa Simon

JMIR Form Res 2023;7:e42683

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Prediction Models for Sleep Quality Among College Students During the COVID-19 Outbreak: Cross-sectional Study Based on the Internet New Media

Wanyu Zheng, Qingquan Chen, Ling Yao, Jiajing Zhuang, Jiewei Huang, Yiming Hu, Shaoyang Yu, Tebin Chen, Nan Wei, Yifu Zeng, Yixiang Zhang, Chunmei Fan, Youjuan Wang

J Med Internet Res 2023;25:e45721

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Human-Centered Design to Address Biases in Artificial Intelligence

You Chen, Ellen Wright Clayton, Laurie Lovett Novak, Shilo Anders, Bradley Malin

J Med Internet Res 2023;25:e43251

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Acoustic Analysis of Speech for Screening for Suicide Risk: Machine Learning Classifiers for Between- and Within-Person Evaluation of Suicidality

Sooyeon Min, Daun Shin, Sang Jin Rhee, C Hyung Keun Park, Jeong Hun Yang, Yoojin Song, Min Ji Kim, Kyungdo Kim, Won Ik Cho, Oh Chul Kwon, Yong Min Ahn, Hyunju Lee

J Med Internet Res 2023;25:e45456

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Understanding Prospective Physicians’ Intention to Use Artificial Intelligence in Their Future Medical Practice: Configurational Analysis

Gerit Wagner, Louis Raymond, Guy Paré

JMIR Med Educ 2023;9:e45631

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A Standardized Clinical Data Harmonization Pipeline for Scalable AI Application Deployment (FHIR-DHP): Validation and Usability Study

Elena Williams, Manuel Kienast, Evelyn Medawar, Janis Reinelt, Alberto Merola, Sophie Anne Ines Klopfenstein, Anne Rike Flint, Patrick Heeren, Akira-Sebastian Poncette, Felix Balzer, Julian Beimes, Paul von Bünau, Jonas Chromik, Bert Arnrich, Nico Scherf, Sebastian Niehaus

JMIR Med Inform 2023;11:e43847

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Computerization of the Work of General Practitioners: Mixed Methods Survey of Final-Year Medical Students in Ireland

Charlotte Blease, Anna Kharko, Michael Bernstein, Colin Bradley, Muiris Houston, Ian Walsh, Kenneth D Mandl

JMIR Med Educ 2023;9:e42639

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Calibrating a Transformer-Based Model’s Confidence on Community-Engaged Research Studies: Decision Support Evaluation Study

Brian Ferrell, Sarah E Raskin, Emily B Zimmerman

JMIR Form Res 2023;7:e41516

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Deep Learning to Detect Pancreatic Cystic Lesions on Abdominal Computed Tomography Scans: Development and Validation Study

Maria Montserrat Duh, Neus Torra-Ferrer, Meritxell Riera-Marín, Dídac Cumelles, Júlia Rodríguez-Comas, Javier García López, Mª Teresa Fernández Planas

JMIR AI 2023;2:e40702

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Artificial Intelligence–Based Psoriasis Severity Assessment: Real-world Study and Application

Kai Huang, Xian Wu, Yixin Li, Chengzhi Lv, Yangtian Yan, Zhe Wu, Mi Zhang, Weihong Huang, Zixi Jiang, Kun Hu, Mingjia Li, Juan Su, Wu Zhu, Fangfang Li, Mingliang Chen, Jing Chen, Yongjian Li, Mei Zeng, Jianjian Zhu, Duling Cao, Xing Huang, Lei Huang, Xing Hu, Zeyu Chen, Jian Kang, Lei Yuan, Chengji Huang, Rui Guo, Alexander Navarini, Yehong Kuang, Xiang Chen, Shuang Zhao

J Med Internet Res 2023;25:e44932

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What Does DALL-E 2 Know About Radiology?

Lisa C Adams, Felix Busch, Daniel Truhn, Marcus R Makowski, Hugo J W L Aerts, Keno K Bressem

J Med Internet Res 2023;25:e43110

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Development and Assessment of Assisted Diagnosis Models Using Machine Learning for Identifying Elderly Patients With Malnutrition: Cohort Study

Xue Wang, Fengchun Yang, Mingwei Zhu, Hongyuan Cui, Junmin Wei, Jiao Li, Wei Chen

J Med Internet Res 2023;25:e42435

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The Effectiveness of Wearable Devices Using Artificial Intelligence for Blood Glucose Level Forecasting or Prediction: Systematic Review

Arfan Ahmed, Sarah Aziz, Alaa Abd-alrazaq, Faisal Farooq, Mowafa Househ, Javaid Sheikh

J Med Internet Res 2023;25:e40259

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Persuading Patients Using Rhetoric to Improve Artificial Intelligence Adoption: Experimental Study

Glorin Sebastian, Amrita George, George Jackson Jr

J Med Internet Res 2023;25:e41430

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Clinical Validation of an Artificial Intelligence–Based Tool for Automatic Estimation of Left Ventricular Ejection Fraction and Strain in Echocardiography: Protocol for a Two-Phase Prospective Cohort Study

Stelios Hadjidimitriou, Efstathios Pagourelias, Georgios Apostolidis, Ioannis Dimaridis, Vasileios Charisis, Constantinos Bakogiannis, Leontios Hadjileontiadis, Vassilios Vassilikos

JMIR Res Protoc 2023;12:e44650

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Developing an Inpatient Electronic Medical Record Phenotype for Hospital-Acquired Pressure Injuries: Case Study Using Natural Language Processing Models

Elvira Nurmambetova, Jie Pan, Zilong Zhang, Guosong Wu, Seungwon Lee, Danielle A Southern, Elliot A Martin, Chester Ho, Yuan Xu, Cathy A Eastwood

JMIR AI 2023;2:e41264

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Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis

Carmelo Macri, Stephen Bacchi, Sheng Chieh Teoh, Wan Yin Lim, Lydia Lam, Sandy Patel, Mark Slee, Robert Casson, WengOnn Chan

J Med Internet Res 2023;25:e42789

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Investigating the Secondary Use of Clinical Research Data: Protocol for a Mixed Methods Study

Naomi Waithira, Evelyne Kestelyn, Keitcheya Chotthanawathit, Anne Osterrieder, Mavuto Mukaka, Trudie Lang, Phaik Yeong Cheah

JMIR Res Protoc 2023;12:e44875

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