Artificial Intelligence

Feasibility of a Reinforcement Learning–Enabled Digital Health Intervention to Promote Mammograms: Retrospective, Single-Arm, Observational Study

Amy Bucher, E Susanne Blazek, Ashley B West

JMIR Form Res 2022 (Nov 28); 6(11):e42343

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Digital Pattern Recognition for the Identification of Various Hypospadias Parameters via an Artificial Neural Network: Protocol for the Development and Validation of a System and Mobile App

Irfan Wahyudi, Chandra Prasetyo Utomo, Samsuridjal Djauzi, Muhamad Fathurahman, Gerhard Reinaldi Situmorang, Arry Rodjani, Kevin Yonathan, Budi Santoso

JMIR Res Protoc 2022 (Nov 25); 11(11):e42853

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Relative Validation of an Artificial Intelligence–Enhanced, Image-Assisted Mobile App for Dietary Assessment in Adults: Randomized Crossover Study

Audrey Moyen, Aviva Ilysse Rappaport, Chloé Fleurent-Grégoire, Anne-Julie Tessier, Anne-Sophie Brazeau, Stéphanie Chevalier

J Med Internet Res 2022 (Nov 21); 24(11):e40449

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Medical Text Simplification Using Reinforcement Learning (TESLEA): Deep Learning–Based Text Simplification Approach

Atharva Phatak, David W Savage, Robert Ohle, Jonathan Smith, Vijay Mago

JMIR Med Inform 2022 (Nov 18); 10(11):e38095

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Enhancing Food Intake Tracking in Long-term Care With Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) Technology: Validation and Feasibility Assessment

Kaylen Pfisterer, Robert Amelard, Jennifer Boger, Heather Keller, Audrey Chung, Alexander Wong

JMIR Aging 2022 (Nov 17); 5(4):e37590

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Considering Clinician Competencies for the Implementation of Artificial Intelligence–Based Tools in Health Care: Findings From a Scoping Review

Kim V Garvey, Kelly Jean Thomas Craig, Regina Russell, Laurie L Novak, Don Moore, Bonnie M Miller

JMIR Med Inform 2022 (Nov 16); 10(11):e37478

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Developing an Artificial Intelligence Model for Reading Chest X-rays: Protocol for a Prospective Validation Study

Queralt Miró Catalina, Aïna Fuster-Casanovas, Jordi Solé-Casals, Josep Vidal-Alaball

JMIR Res Protoc 2022 (Nov 16); 11(11):e39536

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Personalized Prediction of Response to Smartphone-Delivered Meditation Training: Randomized Controlled Trial

Christian A Webb, Matthew J Hirshberg, Richard J Davidson, Simon B Goldberg

J Med Internet Res 2022 (Nov 08); 24(11):e41566

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Developing an Automated Assessment of In-session Patient Activation for Psychological Therapy: Codevelopment Approach

Sam Malins, Grazziela Figueredo, Tahseen Jilani, Yunfei Long, Jacob Andrews, Mat Rawsthorne, Cosmin Manolescu, Jeremie Clos, Fred Higton, David Waldram, Daniel Hunt, Elvira Perez Vallejos, Nima Moghaddam

JMIR Med Inform 2022 (Nov 08); 10(11):e38168

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Risk Assessment of COVID-19 Cases in Emergency Departments and Clinics With the Use of Real-World Data and Artificial Intelligence: Observational Study

Evangelos Logaras, Antonis Billis, Ilias Kyparissidis Kokkinidis, Smaranda Nafsika Ketseridou, Alexios Fourlis, Aristotelis Tzotzis, Konstantinos Imprialos, Michael Doumas, Panagiotis Bamidis

JMIR Form Res 2022 (Nov 08); 6(11):e36933

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Investigating Patients' Continuance Intention Toward Conversational Agents in Outpatient Departments: Cross-sectional Field Survey

Xingyi Li, Shirong Xie, Zhengqiang Ye, Shishi Ma, Guangjun Yu

J Med Internet Res 2022 (Nov 07); 24(11):e40681

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Ambient Assisted Living: Scoping Review of Artificial Intelligence Models, Domains, Technology, and Concerns

Mladjan Jovanovic, Goran Mitrov, Eftim Zdravevski, Petre Lameski, Sara Colantonio, Martin Kampel, Hilda Tellioglu, Francisco Florez-Revuelta

J Med Internet Res 2022 (Nov 04); 24(11):e36553

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Predicting Emerging Themes in Rapidly Expanding COVID-19 Literature With Unsupervised Word Embeddings and Machine Learning: Evidence-Based Study

Ridam Pal, Harshita Chopra, Raghav Awasthi, Harsh Bandhey, Aditya Nagori, Tavpritesh Sethi

J Med Internet Res 2022 (Nov 02); 24(11):e34067

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The Impact of Time Horizon on Classification Accuracy: Application of Machine Learning to Prediction of Incident Coronary Heart Disease

Steven Simon, Divneet Mandair, Abdel Albakri, Alison Fohner, Noah Simon, Leslie Lange, Mary Biggs, Kenneth Mukamal, Bruce Psaty, Michael Rosenberg

JMIR Cardio 2022 (Nov 02); 6(2):e38040

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The Impact of Artificial Intelligence on Health Equity in Oncology: Scoping Review

Paul Istasy, Wen Shen Lee, Alla Iansavichene, Ross Upshur, Bishal Gyawali, Jacquelyn Burkell, Bekim Sadikovic, Alejandro Lazo-Langner, Benjamin Chin-Yee

J Med Internet Res 2022 (Nov 01); 24(11):e39748

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Ethical Implications of the Use of Language Analysis Technologies for the Diagnosis and Prediction of Psychiatric Disorders

Alexandre Andrade Loch, Ana Caroline Lopes-Rocha, Anderson Ara, João Medrado Gondim, Guillermo A Cecchi, Cheryl Mary Corcoran, Natália Bezerra Mota, Felipe C Argolo

JMIR Ment Health 2022 (Nov 01); 9(11):e41014

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Technical, Ethical, Legal, and Societal Challenges With Digital Twin Systems for the Management of Chronic Diseases in Children and Young People

David Drummond, Adrien Coulet

J Med Internet Res 2022 (Oct 31); 24(10):e39698

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Clinicians’ Perceptions of an Artificial Intelligence–Based Blood Utilization Calculator: Qualitative Exploratory Study

Avishek Choudhury, Onur Asan, Joshua E Medow

JMIR Hum Factors 2022 (Oct 31); 9(4):e38411

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Prediction of Antibody-Antigen Binding via Machine Learning: Development of Data Sets and Evaluation of Methods

Chao Ye, Wenxing Hu, Bruno Gaeta

JMIR Bioinform Biotech 2022 (Oct 28); 3(1):e29404

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Associations Between the Severity of Obsessive-Compulsive Disorder and Vocal Features in Children and Adolescents: Protocol for a Statistical and Machine Learning Analysis

Line Katrine Harder Clemmensen, Nicole Nadine Lønfeldt, Sneha Das, Nicklas Leander Lund, Valdemar Funch Uhre, Anna-Rosa Cecilie Mora-Jensen, Linea Pretzmann, Camilla Funch Uhre, Melanie Ritter, Nicoline Løcke Jepsen Korsbjerg, Julie Hagstrøm, Christine Lykke Thoustrup, Iben Thiemer Clemmesen, Kersten Jessica Plessen, Anne Katrine Pagsberg

JMIR Res Protoc 2022 (Oct 28); 11(10):e39613

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