Applications of AI

Association Between Online Reviews of Substance Use Disorder Treatment Facilities and Drug-Induced Mortality Rates: Cross-Sectional Analysis

Matthew P Abrams, Raina M Merchant, Zachary F Meisel, Arthur P Pelullo, Sharath Chandra Guntuku, Anish K Agarwal

JMIR AI 2023 (Dec 29); 2:e46317

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The Evolution of Artificial Intelligence in Biomedicine: Bibliometric Analysis

Jiasheng Gu, Chongyang Gao, Lili Wang

JMIR AI 2023 (Dec 19); 2:e45770

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Practical Considerations and Applied Examples of Cross-Validation for Model Development and Evaluation in Health Care: Tutorial

Drew Wilimitis, Colin G Walsh

JMIR AI 2023 (Dec 18); 2:e49023

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Using Conversational AI to Facilitate Mental Health Assessments and Improve Clinical Efficiency Within Psychotherapy Services: Real-World Observational Study

Max Rollwage, Johanna Habicht, Keno Juechems, Ben Carrington, Sruthi Viswanathan, Mona Stylianou, Tobias U Hauser, Ross Harper

JMIR AI 2023 (Dec 13); 2:e44358

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Machine Learning–Based Asthma Attack Prediction Models From Routinely Collected Electronic Health Records: Systematic Scoping Review

Arif Budiarto, Kevin C H Tsang, Andrew M Wilson, Aziz Sheikh, Syed Ahmar Shah

JMIR AI 2023 (Dec 07); 2:e46717

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Developing Ethics and Equity Principles, Terms, and Engagement Tools to Advance Health Equity and Researcher Diversity in AI and Machine Learning: Modified Delphi Approach

Rachele Hendricks-Sturrup, Malaika Simmons, Shilo Anders, Kammarauche Aneni, Ellen Wright Clayton, Joseph Coco, Benjamin Collins, Elizabeth Heitman, Sajid Hussain, Karuna Joshi, Josh Lemieux, Laurie Lovett Novak, Daniel J Rubin, Anil Shanker, Talitha Washington, Gabriella Waters, Joyce Webb Harris, Rui Yin, Teresa Wagner, Zhijun Yin, Bradley Malin

JMIR AI 2023 (Dec 06); 2:e52888

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Momentary Depressive Feeling Detection Using X (Formerly Twitter) Data: Contextual Language Approach

Ali Akbar Jamali, Corinne Berger, Raymond J Spiteri

JMIR AI 2023 (Nov 27); 2:e49531

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Predicting Adherence to Behavior Change Support Systems Using Machine Learning: Systematic Review

Akon Obu Ekpezu, Isaac Wiafe, Harri Oinas-Kukkonen

JMIR AI 2023 (Nov 22); 2:e46779

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Machine Learning Models Versus the National Early Warning Score System for Predicting Deterioration: Retrospective Cohort Study in the United Arab Emirates

Hazem Lashen, Terrence Lee St John, Y Zaki Almallah, Madhu Sasidhar, Farah E Shamout

JMIR AI 2023 (Nov 06); 2:e45257

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Insights on the Current State and Future Outlook of AI in Health Care: Expert Interview Study

Pia Hummelsberger, Timo K Koch, Sabrina Rauh, Julia Dorn, Eva Lermer, Martina Raue, Matthias F C Hudecek, Andreas Schicho, Errol Colak, Marzyeh Ghassemi, Susanne Gaube

JMIR AI 2023 (Oct 31); 2:e47353

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Assessing Elevated Blood Glucose Levels Through Blood Glucose Evaluation and Monitoring Using Machine Learning and Wearable Photoplethysmography Sensors: Algorithm Development and Validation

Bohan Shi, Satvinder Singh Dhaliwal, Marcus Soo, Cheri Chan, Jocelin Wong, Natalie W C Lam, Entong Zhou, Vivien Paitimusa, Kum Yin Loke, Joel Chin, Mei Tuan Chua, Kathy Chiew Suan Liaw, Amos W H Lim, Fadil Fatin Insyirah, Shih-Cheng Yen, Arthur Tay, Seng Bin Ang

JMIR AI 2023 (Oct 27); 2:e48340

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Association of Health Care Work With Anxiety and Depression During the COVID-19 Pandemic: Structural Topic Modeling Study

Matteo Malgaroli, Emily Tseng, Thomas D Hull, Emma Jennings, Tanzeem K Choudhury, Naomi M Simon

JMIR AI 2023 (Oct 24); 2:e47223

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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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Effect of Benign Biopsy Findings on an Artificial Intelligence–Based Cancer Detector in Screening Mammography: Retrospective Case-Control Study

Athanasios Zouzos, Aleksandra Milovanovic, Karin Dembrower, Fredrik Strand

JMIR AI 2023 (Aug 31); 2:e48123

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Application of a Comprehensive Evaluation Framework to COVID-19 Studies: Systematic Review of Translational Aspects of Artificial Intelligence in Health Care

Aaron Edward Casey, Saba Ansari, Bahareh Nakisa, Blair Kelly, Pieta Brown, Paul Cooper, Imran Muhammad, Steven Livingstone, Sandeep Reddy, Ville-Petteri Makinen

JMIR AI 2023 (Jul 06); 2:e42313

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Artificial Intelligence in Health Care—Understanding Patient Information Needs and Designing Comprehensible Transparency: Qualitative Study

Renee Robinson, Cara Liday, Sarah Lee, Ishan C Williams, Melanie Wright, Sungjoon An, Elaine Nguyen

JMIR AI 2023 (Jun 19); 2:e46487

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Automated Identification of Aspirin-Exacerbated Respiratory Disease Using Natural Language Processing and Machine Learning: Algorithm Development and Evaluation Study

Thanai Pongdee, Nicholas B Larson, Rohit Divekar, Suzette J Bielinski, Hongfang Liu, Sungrim Moon

JMIR AI 2023 (Jun 12); 2:e44191

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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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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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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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