Artificial Intelligence

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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Preparing for an Artificial Intelligence–Enabled Future: Patient Perspectives on Engagement and Health Care Professional Training for Adopting Artificial Intelligence Technologies in Health Care Settings

Tharshini Jeyakumar, Sarah Younus, Melody Zhang, Megan Clare, Rebecca Charow, Inaara Karsan, Azra Dhalla, Dalia Al-Mouaswas, Jillian Scandiffio, Justin Aling, Mohammad Salhia, Nadim Lalani, Scott Overholt, David Wiljer

JMIR AI 2023;2:e40973

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Trends in Language Use During the COVID-19 Pandemic and Relationship Between Language Use and Mental Health: Text Analysis Based on Free Responses From a Longitudinal Study

Rachel Weger, Juan Antonio Lossio-Ventura, Margaret Rose-McCandlish, Jacob S Shaw, Stephen Sinclair, Francisco Pereira, Joyce Y Chung, Lauren Yvette Atlas

JMIR Ment Health 2023;10:e40899

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Analyzing the Predictability of an Artificial Intelligence App (Tibot) in the Diagnosis of Dermatological Conditions: A Cross-sectional Study

Shiva Shankar Marri, Arun C Inamadar, Ajit B Janagond, Warood Albadri

JMIR Dermatol 2023;6:e45529

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Classifying COVID-19 Patients From Chest X-ray Images Using Hybrid Machine Learning Techniques: Development and Evaluation

Thanakorn Phumkuea, Thakerng Wongsirichot, Kasikrit Damkliang, Asma Navasakulpong

JMIR Form Res 2023;7:e42324

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German Medical Named Entity Recognition Model and Data Set Creation Using Machine Translation and Word Alignment: Algorithm Development and Validation

Johann Frei, Frank Kramer

JMIR Form Res 2023;7:e39077

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Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals With Prediabetes or Diabetes: Retrospective Cohort Study

Simon Schallmoser, Thomas Zueger, Mathias Kraus, Maytal Saar-Tsechansky, Christoph Stettler, Stefan Feuerriegel

J Med Internet Res 2023;25:e42181

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Artificial Intelligence–Based Chatbots for Promoting Health Behavioral Changes: Systematic Review

Abhishek Aggarwal, Cheuk Chi Tam, Dezhi Wu, Xiaoming Li, Shan Qiao

J Med Internet Res 2023;25:e40789

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Artificial Intelligence in Community-Based Diabetic Retinopathy Telemedicine Screening in Urban China: Cost-effectiveness and Cost-Utility Analyses With Real-world Data

Senlin Lin, Yingyan Ma, Yi Xu, Lina Lu, Jiangnan He, Jianfeng Zhu, Yajun Peng, Tao Yu, Nathan Congdon, Haidong Zou

JMIR Public Health Surveill 2023;9:e41624

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Application of Artificial Intelligence to the Monitoring of Medication Adherence for Tuberculosis Treatment in Africa: Algorithm Development and Validation

Juliet Nabbuye Sekandi, Weili Shi, Ronghang Zhu, Patrick Kaggwa, Ernest Mwebaze, Sheng Li

JMIR AI 2023;2:e40167

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Real-Time Detection of Sleep Apnea Based on Breathing Sounds and Prediction Reinforcement Using Home Noises: Algorithm Development and Validation

Vu Linh Le, Daewoo Kim, Eunsung Cho, Hyeryung Jang, Roben Delos Reyes, Hyunggug Kim, Dongheon Lee, In-Young Yoon, Joonki Hong, Jeong-Whun Kim

J Med Internet Res 2023;25:e44818

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