This paper is in the following e-collection/theme issue:

Telehealth and Telemonitoring (1671) Cost-Effectiveness and Economics (252) Machine Learning (1465) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1400) Sleep Apnea (26) Sleep Monitoring, Sleep Quality, Sleep Disorders (183)

Published on in Vol 23, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24072, first published .
Management and Treatment of Patients With Obstructive Sleep Apnea Using an Intelligent Monitoring System Based on Machine Learning Aiming to Improve Continuous Positive Airway Pressure Treatment Compliance: Randomized Controlled Trial

Management and Treatment of Patients With Obstructive Sleep Apnea Using an Intelligent Monitoring System Based on Machine Learning Aiming to Improve Continuous Positive Airway Pressure Treatment Compliance: Randomized Controlled Trial

Management and Treatment of Patients With Obstructive Sleep Apnea Using an Intelligent Monitoring System Based on Machine Learning Aiming to Improve Continuous Positive Airway Pressure Treatment Compliance: Randomized Controlled Trial

Authors of this article:

Cecilia Turino1, 2 Author Orcid Image ;   Ivan D Benítez1, 2 Author Orcid Image ;   Xavier Rafael-Palou3, 4 Author Orcid Image ;   Ana Mayoral5 Author Orcid Image ;   Alejandro Lopera5 Author Orcid Image ;   Lydia Pascual1, 2 Author Orcid Image ;   Rafaela Vaca1, 2 Author Orcid Image ;   Anunciación Cortijo1, 2 Author Orcid Image ;   Anna Moncusí-Moix1, 2 Author Orcid Image ;   Mireia Dalmases1, 2 Author Orcid Image ;   Eloisa Vargiu3 Author Orcid Image ;   Jordi Blanco5 Author Orcid Image ;   Ferran Barbé1, 2 Author Orcid Image ;   Jordi de Batlle1, 2 Author Orcid Image
Article Authors Cited by (15) Tweetations (5) Metrics

Journals

  1. Prasad S, Arunachalam S, Boillat T, Ghoneima A, Gandedkar N, Diar-Bakirly S. Wearable Orofacial Technology and Orthodontics. Dentistry Journal 2023;11(1):24 View
  2. Brennan H, Kirby S. Barriers of artificial intelligence implementation in the diagnosis of obstructive sleep apnea. Journal of Otolaryngology - Head & Neck Surgery 2022;51(1) View
  3. Brennan H, Kirby S. The role of artificial intelligence in the treatment of obstructive sleep apnea. Journal of Otolaryngology - Head & Neck Surgery 2023;52(1) View
  4. Zhu J, Sanford L, Ren R, Zhang Y, Tang X. Multiple Machine Learning Methods Reveal Key Biomarkers of Obstructive Sleep Apnea and Continuous Positive Airway Pressure Treatment. Frontiers in Genetics 2022;13 View
  5. Niu Y, Xi H, Zhu R, Guo Y, Wang S, Xiong X, Wang S, Guo L. Effects of telemedicine-based follow-up management on adults with obstructive sleep apnea: A systematic review and meta-analysis. International Journal of Medical Informatics 2023;176:105108 View
  6. Vithlani J, Hawksworth C, Elvidge J, Ayiku L, Dawoud D. Economic evaluations of artificial intelligence-based healthcare interventions: a systematic literature review of best practices in their conduct and reporting. Frontiers in Pharmacology 2023;14 View
  7. Jiao W, Zhang X, D’Souza F. The Economic Value and Clinical Impact of Artificial Intelligence in Healthcare: A Scoping Literature Review. IEEE Access 2023;11:123445 View
  8. Iqbal T, Masud M, Amin B, Feely C, Faherty M, Jones T, Tierney M, Shahzad A, Vazquez P. Towards integration of artificial intelligence into medical devices as a real-time recommender system for personalised healthcare: State-of-the-art and future prospects. Health Sciences Review 2024;10:100150 View
  9. Kaambwa B, Woods T, Natsky A, Bulamu N, Mpundu-Kaambwa C, Loffler K, Sweetman A, Catcheside P, Reynolds A, Adams R, Eckert D. Content Comparison of Quality-of-Life Instruments Used in Economic Evaluations of Sleep Disorder Interventions: A Systematic Review. PharmacoEconomics 2024;42(5):507 View
  10. Elvidge J, Hawksworth C, Avşar T, Zemplenyi A, Chalkidou A, Petrou S, Petykó Z, Srivastava D, Chandra G, Delaye J, Denniston A, Gomes M, Knies S, Nousios P, Siirtola P, Wang J, Dawoud D, Arbour S, Asche C, Ashurst C, Balkanyi L, Bennett H, Boros G, Boyce R, Carswell C, Chaiyakunapruk N, Chhatwal J, Ciani O, Collins G, Dawson D, Vanness D, Di Bidino R, Faulding S, Felizzi F, Haig M, Hawkins J, Hiligsmann M, Holst-Kristensen A, Isla J, Koffijberg E, Kostyuk A, Krief N, Lee D, Lee K, Lundin D, Markiewicz-Barreaux K, Mauskopf J, Moons K, Németh B, Petrova G, Pwu R, Rejon-Parrilla J, Rogers G, Sampson C, Springborg A, Steuten L, Sutherland E, Suutala J, Theisen D, Thompson A, van Gemert-Pijnen L, Walker T, Wilson E. Consolidated Health Economic Evaluation Reporting Standards for Interventions That Use Artificial Intelligence (CHEERS-AI). Value in Health 2024;27(9):1196 View
  11. Kastrup N, Holst-Kristensen A, Valentin J. Landscape and challenges in economic evaluations of artificial intelligence in healthcare: a systematic review of methodology. BMC Digital Health 2024;2(1) View
  12. Bandyopadhyay A, Oks M, Sun H, Prasad B, Rusk S, Jefferson F, Malkani R, Haghayegh S, Sachdeva R, Hwang D, Agustsson J, Mignot E, Summers M, Fabbri D, Deak M, Anastasi M, Sampson A, Van Hout S, Seixas A. Strengths, weaknesses, opportunities, and threats of using AI-enabled technology in sleep medicine: a commentary. Journal of Clinical Sleep Medicine 2024;20(7):1183 View

Books/Policy Documents

  1. Bandyopadhyay A, Goldstein C. Artificial Intelligence in Clinical Practice. View
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  3. Orhan K, Aksoy S. Artificial Intelligence in Dentistry. View