Artificial Intelligence

Gender Bias When Using Artificial Intelligence to Assess Anorexia Nervosa on Social Media: Data-Driven Study

David Solans Noguero, Diana Ramírez-Cifuentes, Esteban Andrés Ríssola, Ana Freire

J Med Internet Res 2023 (Jun 08); 25:e45184

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Epidemiology and a Predictive Model of Prognosis Index Based on Machine Learning in Primary Breast Lymphoma: Population-Based Study

Yushuai Yu, Zelin Xu, Tinglei Shao, Kaiyan Huang, Ruiliang Chen, Xiaoqin Yu, Jie Zhang, Hui Han, Chuangui Song

JMIR Public Health Surveill 2023 (Jun 08); 9:e45455

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A Trainable Open-Source Machine Learning Accelerometer Activity Recognition Toolbox: Deep Learning Approach

Fluri Wieland, Claudio Nigg

JMIR AI 2023 (Jun 08); 2:e42337

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The Advent of Generative Language Models in Medical Education

Mert Karabacak, Burak Berksu Ozkara, Konstantinos Margetis, Max Wintermark, Sotirios Bisdas

JMIR Med Educ 2023 (Jun 06); 9:e48163

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Natural Language Processing for Clinical Laboratory Data Repository Systems: Implementation and Evaluation for Respiratory Viruses

Elham Dolatabadi, Branson Chen, Sarah A Buchan, Alex Marchand Austin, Mahmoud Azimaee, Allison McGeer, Samira Mubareka, Jeffrey C Kwong

JMIR AI 2023 (Jun 06); 2:e44835

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Extraction of Radiological Characteristics From Free-Text Imaging Reports Using Natural Language Processing Among Patients With Ischemic and Hemorrhagic Stroke: Algorithm Development and Validation

Enshuo Hsu, Abdulaziz T Bako, Thomas Potter, Alan P Pan, Gavin W Britz, Jonika Tannous, Farhaan S Vahidy

JMIR AI 2023 (Jun 06); 2:e42884

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Prediction of Sleep Stages Via Deep Learning Using Smartphone Audio Recordings in Home Environments: Model Development and Validation

Hai Hong Tran, Jung Kyung Hong, Hyeryung Jang, Jinhwan Jung, Jongmok Kim, Joonki Hong, Minji Lee, Jeong-Whun Kim, Clete A Kushida, Dongheon Lee, Daewoo Kim, In-Young Yoon

J Med Internet Res 2023 (Jun 01); 25:e46216

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Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning–Based Natural Language Processing

Kyeryoung Lee, Zongzhi Liu, Urmila Chandran, Iftekhar Kalsekar, Balaji Laxmanan, Mitchell K Higashi, Tomi Jun, Meng Ma, Minghao Li, Yun Mai, Christopher Gilman, Tongyu Wang, Lei Ai, Parag Aggarwal, Qi Pan, William Oh, Gustavo Stolovitzky, Eric Schadt, Xiaoyan Wang

JMIR AI 2023 (Jun 01); 2:e44537

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Open Science and Software Assistance: Commentary on “Artificial Intelligence Can Generate Fraudulent but Authentic-Looking Scientific Medical Articles: Pandora’s Box Has Been Opened”

Pedro L Ballester

J Med Internet Res 2023 (May 31); 25:e49323

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Artificial Intelligence Can Generate Fraudulent but Authentic-Looking Scientific Medical Articles: Pandora’s Box Has Been Opened

Martin Májovský, Martin Černý, Matěj Kasal, Martin Komarc, David Netuka

J Med Internet Res 2023 (May 31); 25:e46924

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Issue of Data Imbalance on Low Birthweight Baby Outcomes Prediction and Associated Risk Factors Identification: Establishment of Benchmarking Key Machine Learning Models With Data Rebalancing Strategies

Yang Ren, Dezhi Wu, Yan Tong, Ana López-DeFede, Sarah Gareau

J Med Internet Res 2023 (May 31); 25:e44081

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An Artificial Intelligence–Based Smartphone App for Assessing the Risk of Opioid Misuse in Working Populations Using Synthetic Data: Pilot Development Study

A B M Rezbaul Islam, Khalid M Khan, Amanda Scarbrough, Mariah Jade Zimpfer, Navya Makkena, Adebola Omogunwa, Sheikh Iqbal Ahamed

JMIR Form Res 2023 (May 30); 7:e45434

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Impacts of Symptom Checkers for Laypersons’ Self-diagnosis on Physicians in Primary Care: Scoping Review

Natalia Radionova, Eylem Ög, Anna-Jasmin Wetzel, Monika A Rieger, Christine Preiser

J Med Internet Res 2023 (May 29); 25:e39219

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An Assessment of How Clinicians and Staff Members Use a Diabetes Artificial Intelligence Prediction Tool: Mixed Methods Study

Winston R Liaw, Yessenia Ramos Silva, Erica G Soltero, Alex Krist, Angela L Stotts

JMIR AI 2023 (May 29); 2:e45032

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Forecasting Artificial Intelligence Trends in Health Care: Systematic International Patent Analysis

Stan Benjamens, Pranavsingh Dhunnoo, Márton Görög, Bertalan Mesko

JMIR AI 2023 (May 26); 2:e47283

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Machine Learning–Based Time in Patterns for Blood Glucose Fluctuation Pattern Recognition in Type 1 Diabetes Management: Development and Validation Study

Nicholas Berin Chan, Weizi Li, Theingi Aung, Eghosa Bazuaye, Rosa M Montero

JMIR AI 2023 (May 26); 2:e45450

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Optometrists' Perspectives Regarding Artificial Intelligence Aids and Contributing Retinal Images to a Repository: Web-Based Interview Study

Aurora Constantin, Malcolm Atkinson, Miguel Oscar Bernabeu, Fiona Buckmaster, Baljean Dhillon, Alice McTrusty, Niall Strang, Robin Williams

JMIR Hum Factors 2023 (May 25); 10:e40887

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Supporting Adolescent Engagement with Artificial Intelligence–Driven Digital Health Behavior Change Interventions

Alison Giovanelli, Jonathan Rowe, Madelynn Taylor, Mark Berna, Kathleen P Tebb, Carlos Penilla, Marianne Pugatch, James Lester, Elizabeth M Ozer

J Med Internet Res 2023 (May 24); 25:e40306

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Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges

Gabrielle Chenais, Emmanuel Lagarde, Cédric Gil-Jardiné

J Med Internet Res 2023 (May 23); 25:e40031

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Roles and Competencies of Doctors in Artificial Intelligence Implementation: Qualitative Analysis Through Physician Interviews

Masashi Tanaka, Shinji Matsumura, Seiji Bito

JMIR Form Res 2023 (May 18); 7:e46020

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