Artificial Intelligence

Methodological and Quality Flaws in the Use of Artificial Intelligence in Mental Health Research: Systematic Review

Roberto Tornero-Costa, Antonio Martinez-Millana, Natasha Azzopardi-Muscat, Ledia Lazeri, Vicente Traver, David Novillo-Ortiz

JMIR Ment Health 2023;10:e42045

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Assessing the Feasibility of a Text-Based Conversational Agent for Asthma Support: Protocol for a Mixed Methods Observational Study

Rafael A Calvo, Dorian Peters, Laura Moradbakhti, Darren Cook, Georgios Rizos, Bjoern Schuller, Constantinos Kallis, Ernie Wong, Jennifer Quint

JMIR Res Protoc 2023;12:e42965

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The Effects of a Health Care Chatbot’s Complexity and Persona on User Trust, Perceived Usability, and Effectiveness: Mixed Methods Study

Joshua Biro, Courtney Linder, David Neyens

JMIR Hum Factors 2023;10:e41017

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Gastroenteritis Forecasting Assessing the Use of Web and Electronic Health Record Data With a Linear and a Nonlinear Approach: Comparison Study

Canelle Poirier, Guillaume Bouzillé, Valérie Bertaud, Marc Cuggia, Mauricio Santillana, Audrey Lavenu

JMIR Public Health Surveill 2023;9:e34982

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Prediction of Next Glucose Measurement in Hospitalized Patients by Comparing Various Regression Methods: Retrospective Cohort Study

Andrew D Zale, Mohammed S Abusamaan, John McGready, Nestoras Mathioudakis

JMIR Form Res 2023;7:e41577

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The Association Between Comorbidities and Prescribed Drugs in Patients With Suspected Obstructive Sleep Apnea: Inductive Rule Learning Approach

Daniela Ferreira-Santos, Pedro Pereira Rodrigues

J Med Internet Res 2023;25:e39103

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Usability and Credibility of a COVID-19 Vaccine Chatbot for Young Adults and Health Workers in the United States: Formative Mixed Methods Study

Rose Weeks, Pooja Sangha, Lyra Cooper, João Sedoc, Sydney White, Shai Gretz, Assaf Toledo, Dan Lahav, Anna-Maria Hartner, Nina M Martin, Jae Hyoung Lee, Noam Slonim, Naor Bar-Zeev

JMIR Hum Factors 2023;10:e40533

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The Application of Artificial Intelligence in Health Care Resource Allocation Before and During the COVID-19 Pandemic: Scoping Review

Hao Wu, Xiaoyu Lu, Hanyu Wang

JMIR AI 2023;2:e38397

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Artificial Intelligence in Medicine: Text Mining of Health Care Workers’ Opinions

Pascal Nitiéma

J Med Internet Res 2023;25:e41138

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User-Chatbot Conversations During the COVID-19 Pandemic: Study Based on Topic Modeling and Sentiment Analysis

Hyojin Chin, Gabriel Lima, Mingi Shin, Assem Zhunis, Chiyoung Cha, Junghoi Choi, Meeyoung Cha

J Med Internet Res 2023;25:e40922

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Development of an Artificial Intelligence–Guided Citizen-Centric Predictive Model for the Uptake of Maternal Health Services Among Pregnant Women Living in Urban Slum Settings in India: Protocol for a Cross-sectional Study With a Mixed Methods Design

Rahul Shrivastava, Manmohan Singhal, Mansi Gupta, Ashish Joshi

JMIR Res Protoc 2023;12:e35452

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Predicting Risky Sexual Behavior Among College Students Through Machine Learning Approaches: Cross-sectional Analysis of Individual Data From 1264 Universities in 31 Provinces in China

Xuan Li, Hanxiyue Zhang, Shuangyu Zhao, Kun Tang

JMIR Public Health Surveill 2023;9:e41162

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Artificial Intelligence and Precision Health Through Lenses of Ethics and Social Determinants of Health: Protocol for a State-of-the-Art Literature Review

Sarah Wamala-Andersson, Matt X Richardson, Sara Landerdahl Stridsberg, Jillian Ryan, Felix Sukums, Yong-Shian Goh

JMIR Res Protoc 2023;12:e40565

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Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review

Alaa Abd-alrazaq, Rawan AlSaad, Sarah Aziz, Arfan Ahmed, Kerstin Denecke, Mowafa Househ, Faisal Farooq, Javaid Sheikh

J Med Internet Res 2023;25:e42672

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Intelligent Physical Robots in Health Care: Systematic Literature Review

Rong Huang, Hongxiu Li, Reima Suomi, Chenglong Li, Teijo Peltoniemi

J Med Internet Res 2023;25:e39786

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Reporting, Monitoring, and Handling of Adverse Drug Reactions in Australia: Scoping Review

Joel Fossouo Tagne, Reginald Amin Yakob, Thu Ha Dang, Rachael Mcdonald, Nilmini Wickramasinghe

JMIR Public Health Surveill 2023;9:e40080

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Artificial Intelligence Algorithms in Health Care: Is the Current Food and Drug Administration Regulation Sufficient?

Meghavi Mashar, Shreya Chawla, Fangyue Chen, Baker Lubwama, Kyle Patel, Mihir A Kelshiker, Patrik Bachtiger, Nicholas S Peters

JMIR AI 2023;2:e42940

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Perioperative Risk Assessment of Patients Using the MyRISK Digital Score Completed Before the Preanesthetic Consultation: Prospective Observational Study

Fabrice Ferré, Rodolphe Laurent, Philippine Furelau, Emmanuel Doumard, Anne Ferrier, Laetitia Bosch, Cyndie Ba, Rémi Menut, Matt Kurrek, Thomas Geeraerts, Antoine Piau, Vincent Minville

JMIR Perioper Med 2023;6:e39044

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An Accurate Deep Learning–Based System for Automatic Pill Identification: Model Development and Validation

Junyeong Heo, Youjin Kang, SangKeun Lee, Dong-Hwa Jeong, Kang-Min Kim

J Med Internet Res 2023;25:e41043

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Interpretable Deep-Learning Approaches for Osteoporosis Risk Screening and Individualized Feature Analysis Using Large Population-Based Data: Model Development and Performance Evaluation

Bogyeong Suh, Heejin Yu, Hyeyeon Kim, Sanghwa Lee, Sunghye Kong, Jin-Woo Kim, Jongeun Choi

J Med Internet Res 2023;25:e40179

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