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

Wearables and MHealth Reviews (273) JMIR Theme Issue: COVID-19 Special Issue (2452) mHealth for Diagnosis (60) Theme Issue: Apps for COVID-19 (#Apps4Covid) (136) Artificial Intelligence (1371) Digital Health Reviews (1289) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) Surveillance Systems (462) Mobile Health (mhealth) (2939) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (148) mHealth for Data Collection and Research (955)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44406, first published .
Mobile Apps for COVID-19 Detection and Diagnosis for Future Pandemic Control: Multidimensional Systematic Review

Mobile Apps for COVID-19 Detection and Diagnosis for Future Pandemic Control: Multidimensional Systematic Review

Mobile Apps for COVID-19 Detection and Diagnosis for Future Pandemic Control: Multidimensional Systematic Review

Authors of this article:

Mehdi Gheisari1, 2 Author Orcid Image ;   Mustafa Ghaderzadeh3 Author Orcid Image ;   Huxiong Li1 Author Orcid Image ;   Tania Taami4 Author Orcid Image ;   Christian Fernández-Campusano5 Author Orcid Image ;   Hamidreza Sadeghsalehi6 Author Orcid Image ;   Aaqif Afzaal Abbasi7 Author Orcid Image
Article Authors Cited by (9) Tweetations (2) Metrics

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  2. Shobayo O, Saatchi R, Ramlakhan S. Convolutional Neural Network to Classify Infrared Thermal Images of Fractured Wrists in Pediatrics. Healthcare 2024;12(10):994 View
  3. Hossainpour H, Mahmoudi H. Revolutionizing Microbial Infection Diagnosis: The Role of Artificial Intelligence. Iranian Journal of Medical Microbiology 2024;18(2):66 View
  4. Gómez-Bravo R, Ares-Blanco S, Gefaell Larrondo I, Ramos Del Rio L, Adler L, Assenova R, Bakola M, Bayen S, Brutskaya-Stempkovskaya E, Busneag I, Divjak A, Peña M, Domeyer P, Feldmane S, Fitzgerald L, Gjorgjievski D, Gómez-Johansson M, Hanževački M, Ilkov O, Ivanna S, Jandrić-Kočić M, Karathanos V, Ücüncü E, Kirkovski A, Knežević S, Korkmaz B, Kostić M, Krztoń-Królewiecka A, Kozlovska L, Lingner H, Murauskienė L, Nessler K, Parodi López N, Perjés Á, Petek D, Petrazzuoli F, Petricek G, Sattler M, Seifert B, Serafini A, Sentker T, Ticmane G, Tiili P, Torzsa P, Valtonen K, Vaes B, Vinker S, Neves A, Guisado-Clavero M, Astier-Peña M, Hoffmann K. The Use of COVID-19 Mobile Apps in Connecting Patients with Primary Healthcare in 30 Countries: Eurodata Study. Healthcare 2024;12(14):1420 View
  5. Benedek Szabo A, Katona J. A machine learning approach for skin lesion classification on iOS: implementing and optimizing a convolutional transfer learning model with Create ML. International Journal of Computers and Applications 2024;46(8):666 View
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  7. Qayyum H, Rizvi S, Naeem M, Khalid U, Abbas M, Coronato A. Enhancing Diagnostic Accuracy for Skin Cancer and COVID-19 Detection: A Comparative Study Using a Stacked Ensemble Method. Technologies 2024;12(9):142 View
  8. Sarnicka I, Raj-Koziak D, Skarzynski H, Fludra M, Karendys- Łuszcz K, Gos E. TRENDS IN THE ADVANCEMENT OF MOBILE APPLICATIONS FOR THE DIAGNOSIS AND TREATMENT OF TINNITUS: A COMPREHENSIVE REVIEW OF SCIENTIFIC LITERATURE. Journal of Hearing Science 2024;14(2):9 View
  9. Ahmad R, Maghrabi L, Khaja I, Maghrabi L, Ahmad M. SMOTE-Based Automated PCOS Prediction Using Lightweight Deep Learning Models. Diagnostics 2024;14(19):2225 View