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

Viewpoints and Perspectives (512) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1393) Mobile Health (mhealth) (2929) Artificial Intelligence (1360) mHealth for Wellness, Behavior Change and Prevention (2865)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44030, first published .
Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges

Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges

Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges

Authors of this article:

Alejandro Deniz-Garcia1 Author Orcid Image ;   Himar Fabelo2, 3 Author Orcid Image ;   Antonio J Rodriguez-Almeida3 Author Orcid Image ;   Garlene Zamora-Zamorano1, 4 Author Orcid Image ;   Maria Castro-Fernandez3 Author Orcid Image ;   Maria del Pino Alberiche Ruano1, 4 Author Orcid Image ;   Terje Solvoll5, 6 Author Orcid Image ;   Conceição Granja5, 6 Author Orcid Image ;   Thomas Roger Schopf5 Author Orcid Image ;   Gustavo M Callico3 Author Orcid Image ;   Cristina Soguero-Ruiz7 Author Orcid Image ;   Ana M Wägner1, 4 Author Orcid Image ;   WARIFA Consortium8
Article Authors Cited by (27) Tweetations (11) Metrics

Journals

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  14. Khalifa M, Magrabi F, Gallego B. Validating and Updating GRASP: An Evidence-Based Framework for Grading and Assessment of Clinical Predictive Tools. Computer Methods and Programs in Biomedicine Update 2024:100161 View
  15. Wang Z, Yang W, Li Z, Rong Z, Wang X, Han J, Ma L. A 25-Year Retrospective of the Use of AI for Diagnosing Acute Stroke: Systematic Review. Journal of Medical Internet Research 2024;26:e59711 View
  16. Šajnović U, Vošner H, Završnik J, Žlahtič B, Kokol P. Internet of Things and Big Data Analytics in Preventive Healthcare: A Synthetic Review. Electronics 2024;13(18):3642 View
  17. Damar M, Kop O, Şaylan Ö, Özen A, Çakmak Ü, Erenay F. Digital Health: The Critical Value of Mobile Technology for the Health Sector, Different Application Examples from the World and Current Trends. Journal of Emerging Computer Technologies 2024;4(1):25 View
  18. Mohd Nawi C, Hussein Z, Mohd Nawi C. Factors Influencing the Acceptance of AI in Mobile Health Apps in Malaysia. Information Management and Business Review 2024;16(3(I)):685 View
  19. Patra E, Kokkinopoulou A, Wilson-Barnes S, Hart K, Gymnopoulos L, Tsatsou D, Solachidis V, Dimitropoulos K, Rouskas K, Argiriou A, Lalama E, Csanalosi M, Pfeiffer A, Cornelissen V, Decorte E, Dias S, Oikonomidis Y, María Botana J, Leoni R, Russell D, Mantovani E, Aleksić M, Brkić B, Hassapidou M, Pagkalos I. Personal Goals, User Engagement, and Meal Adherence within a Personalised AI-Based Mobile Application for Nutrition and Physical Activity. Life 2024;14(10):1238 View
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  21. Jürgens K, Raddatz A, Tausendfreund F, Clemens T. Market access regulations for mHealth applications in Germany, Austria and Switzerland: A Review. Health Policy and Technology 2024;13(5):100934 View
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Books/Policy Documents

  1. Najjar R. A Comprehensive Overview of Telemedicine [Working Title]. View
  2. Tu C, Russo A, Zhang Y. Design, User Experience, and Usability. View