Artificial Intelligence

Enabling Early Obstructive Sleep Apnea Diagnosis With Machine Learning: Systematic Review

Daniela Ferreira-Santos, Pedro Amorim, Tiago Silva Martins, Matilde Monteiro-Soares, Pedro Pereira Rodrigues

J Med Internet Res 2022 (Sep 30); 24(9):e39452

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Electronic Diagnostic Support in Emergency Physician Triage: Qualitative Study With Thematic Analysis of Interviews

Matthew Sibbald, Bashayer Abdulla, Amy Keuhl, Geoffrey Norman, Sandra Monteiro, Jonathan Sherbino

JMIR Hum Factors 2022 (Sep 30); 9(3):e39234

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Thinking Aloud or Screaming Inside: Exploratory Study of Sentiment Around Work

Marzia Hoque Tania, Md Razon Hossain, Nuzhat Jahanara, Ilya Andreev, David A Clifton

JMIR Form Res 2022 (Sep 30); 6(9):e30113

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Comparison Between QT and Corrected QT Interval Assessment by an Apple Watch With the AccurBeat Platform and by a 12‑Lead Electrocardiogram With Manual Annotation: Prospective Observational Study

Sara Chokshi, Gulzhan Tologonova, Rose Calixte, Vandana Yadav, Naveed Razvi, Jason Lazar, Stan Kachnowski

JMIR Form Res 2022 (Sep 28); 6(9):e41241

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Detection of Depression Severity Using Bengali Social Media Posts on Mental Health: Study Using Natural Language Processing Techniques

Muhammad Khubayeeb Kabir, Maisha Islam, Anika Nahian Binte Kabir, Adiba Haque, Md Khalilur Rhaman

JMIR Form Res 2022 (Sep 28); 6(9):e36118

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The Impact of a Digital Artificial Intelligence System on the Monitoring and Self-management of Nonmotor Symptoms in People With Parkinson Disease: Proposal for a Phase 1 Implementation Study

Edward Meinert, Madison Milne-Ives, K Ray Chaudhuri, Tracey Harding, John Whipps, Susan Whipps, Camille Carroll

JMIR Res Protoc 2022 (Sep 26); 11(9):e40317

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Treatment Discontinuation Prediction in Patients With Diabetes Using a Ranking Model: Machine Learning Model Development

Hisashi Kurasawa, Kayo Waki, Akihiro Chiba, Tomohisa Seki, Katsuyoshi Hayashi, Akinori Fujino, Tsuneyuki Haga, Takashi Noguchi, Kazuhiko Ohe

JMIR Bioinform Biotech 2022 (Sep 23); 3(1):e37951

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Medical Staff and Resident Preferences for Using Deep Learning in Eye Disease Screening: Discrete Choice Experiment

Senlin Lin, Liping Li, Haidong Zou, Yi Xu, Lina Lu

J Med Internet Res 2022 (Sep 20); 24(9):e40249

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Introducing JMIR AI

Khaled El Emam, Bradley Malin

JMIR AI 2022 (Sep 20); 1(1):e42046

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Automatically Identifying Twitter Users for Interventions to Support Dementia Family Caregivers: Annotated Data Set and Benchmark Classification Models

Ari Z Klein, Arjun Magge, Karen O'Connor, Graciela Gonzalez-Hernandez

JMIR Aging 2022 (Sep 16); 5(3):e39547

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Diagnosis of a Single-Nucleotide Variant in Whole-Exome Sequencing Data for Patients With Inherited Diseases: Machine Learning Study Using Artificial Intelligence Variant Prioritization

Yu-Shan Huang, Ching Hsu, Yu-Chang Chune, I-Cheng Liao, Hsin Wang, Yi-Lin Lin, Wuh-Liang Hwu, Ni-Chung Lee, Feipei Lai

JMIR Bioinform Biotech 2022 (Sep 15); 3(1):e37701

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Dynamic Digital Twin: Diagnosis, Treatment, Prediction, and Prevention of Disease During the Life Course

Skander Tahar Mulder, Amir-Houshang Omidvari, Anja J Rueten-Budde, Pei-Hua Huang, Ki-Hun Kim, Babette Bais, Melek Rousian, Rihan Hai, Can Akgun, Jeanine Roeters van Lennep, Sten Willemsen, Peter R Rijnbeek, David MJ Tax, Marcel Reinders, Eric Boersma, Dimitris Rizopoulos, Valentijn Visch, Régine Steegers-Theunissen

J Med Internet Res 2022 (Sep 14); 24(9):e35675

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Predicting Depression in Patients With Knee Osteoarthritis Using Machine Learning: Model Development and Validation Study

Zuzanna Nowinka, M Abdulhadi Alagha, Khadija Mahmoud, Gareth G Jones

JMIR Form Res 2022 (Sep 13); 6(9):e36130

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Assessing the Generalizability of Deep Learning Models Trained on Standardized and Nonstandardized Images and Their Performance Against Teledermatologists: Retrospective Comparative Study

Ayooluwatomiwa I Oloruntoba, Tine Vestergaard, Toan D Nguyen, Zhen Yu, Maithili Sashindranath, Brigid Betz-Stablein, H Peter Soyer, Zongyuan Ge, Victoria Mar

JMIR Dermatol 2022 (Sep 12); 5(3):e35150

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Real-world Implementation of an eHealth System Based on Artificial Intelligence Designed to Predict and Reduce Emergency Department Visits by Older Adults: Pragmatic Trial

Joël Belmin, Patrick Villani, Mathias Gay, Stéphane Fabries, Charlotte Havreng-Théry, Stéphanie Malvoisin, Fabrice Denis, Jacques-Henri Veyron

J Med Internet Res 2022 (Sep 08); 24(9):e40387

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Use of Social Media Data to Diagnose and Monitor Psychotic Disorders: Systematic Review

Alban Lejeune, Benoit-Marie Robaglia, Michel Walter, Sofian Berrouiguet, Christophe Lemey

J Med Internet Res 2022 (Sep 06); 24(9):e36986

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The Use of Automated Machine Translation to Translate Figurative Language in a Clinical Setting: Analysis of a Convenience Sample of Patients Drawn From a Randomized Controlled Trial

Hailee Tougas, Steven Chan, Tara Shahrvini, Alvaro Gonzalez, Ruth Chun Reyes, Michelle Burke Parish, Peter Yellowlees

JMIR Ment Health 2022 (Sep 06); 9(9):e39556

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Developing Clinical Artificial Intelligence for Obstetric Ultrasound to Improve Access in Underserved Regions: Protocol for a Computer-Assisted Low-Cost Point-of-Care UltraSound (CALOPUS) Study

Alice Self, Qingchao Chen, Bapu Koundinya Desiraju, Sumeet Dhariwal, Alexander D Gleed, Divyanshu Mishra, Ramachandran Thiruvengadam, Varun Chandramohan, Rachel Craik, Elizabeth Wilden, Ashok Khurana, The CALOPUS Study Group, Shinjini Bhatnagar, Aris T Papageorghiou, J Alison Noble

JMIR Res Protoc 2022 (Sep 01); 11(9):e37374

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Using Artificial Intelligence as a Diagnostic Decision Support Tool in Skin Disease: Protocol for an Observational Prospective Cohort Study

Anna Escalé-Besa, Aïna Fuster-Casanovas, Alexander Börve, Oriol Yélamos, Xavier Fustà-Novell, Mireia Esquius Rafat, Francesc X Marin-Gomez, Josep Vidal-Alaball

JMIR Res Protoc 2022 (Aug 31); 11(8):e37531

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Predicting Readmission Charges Billed by Hospitals: Machine Learning Approach

Deepika Gopukumar, Abhijeet Ghoshal, Huimin Zhao

JMIR Med Inform 2022 (Aug 30); 10(8):e37578

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