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

Journals

1. Suresh Kumar K, Radha Mani A, Ananth Kumar T, Jalili A, Gheisari M, Malik Y, Chen H, Jahangir Moshayedi A. Sentiment Analysis of Short Texts Using SVMs and VSMs-Based Multiclass Semantic Classification. Applied Artificial Intelligence 2024;38(1) View
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
6. Alsaleh H. The impact of artificial intelligence in the diagnosis and management of acoustic neuroma: A systematic review. Technology and Health Care 2024;32(6):3801 View
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
10. Razo M, Pishgar M, Galanter W, Darabi H. Deep-Learning Model for Mortality Prediction of ICU Patients with Paralytic Ileus. Bioengineering 2024;11(12):1214 View
11. Anandha Praba R, Suganthi L. Human activity recognition utilizing optimized attention induced Multihead Convolutional Neural Network with Mobile Net V1 from Mobile health data. Network: Computation in Neural Systems 2025;36(2):294 View
12. Aboshosha A. AI based medical imagery diagnosis for COVID-19 disease examination and remedy. Scientific Reports 2025;15(1) View
13. Songane M, Tchakounte Youngui B, Mambo A, Bonabe G, Djikeussi T, Epee E, Tsigaing P, Ndongo M, Mayap Njoukam C, Kana R, Tenkeu S, Simo L, Kouatchouang A, Machekano R, Zoung-Kanyi Bissek A, Tchendjou P, Tiam A, Guay L, Suleiman K, Akinwusi O, Kadam R, Akugizibwe P, Mukherjee S, Woelk G, Tchounga B. Using an app for COVID-19 contact tracing costs less per person traced than manual tracing: microcosting analysis of a randomised trial in Cameroon. BMJ Public Health 2025;2(Suppl 1):e001064 View
14. Islam M, Hasan K, Shajeeb H, Rana H, Rahman M, Hasan M, Azad A, Abdullah I, Moni M. Multimodal marvels of deep learning in medical diagnosis using image, speech, and text: A comprehensive review of COVID-19 detection. AI Open 2025;6:12 View
15. Leung Y, So J, Sidhu A, Asokan V, Gancarz M, Gajjar V, Patel A, Li J, Kwok D, Nadler M, Cuthbert D, Benard P, Kumar V, Cheng T, Papadakos J, Papadakos T, Truong T, Lovas M, Wong J. The Extent to Which Artificial Intelligence Can Help Fulfill Metastatic Breast Cancer Patient Healthcare Needs: A Mixed-Methods Study. Current Oncology 2025;32(3):145 View
16. Choi S, Nah S, Moon J, Han S. A Novel Artificial Intelligence-Based Mobile Application for Pediatric Weight Estimation. Journal of Clinical Medicine 2025;14(9):2873 View
17. Tungal A, Singh K, Singh P, Rehman A, Sood S, Kant V, Kumar A, Hussen S, Hamam H. Recurrent neural network-based automated early detection of pandemic-prone diseases through symptoms analysis. Discover Social Science and Health 2025;5(1) View

Books/Policy Documents

1. Sallam M, Mijwil M, Abotaleb M, Al Sailawi A. Optimization, Machine Learning, and Fuzzy Logic. View
2. Ghaderzadeh M. Telemedicine - Models of Care [Working Title]. View
3. Ormaza-Siguenza L, Villa-Parra A, Bastos-Filho T. Smart Technologies, Systems and Applications. View

Conference Proceedings

1. Pamulaparthyvenkata S, Sharma J, Dattangire R, Vishwanath M, Mulukuntla S, Preethi P, Indhumathi N. 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). Deep Learning and EHR-Driven Image Processing Framework for Lung Infection Detection in Healthcare Applications View
2. Surasani V, Kumar Kanji R, Kalluri R, Reddy Lanka H, Puram K. 2025 4th International Conference on Creative Communication and Innovative Technology (ICCIT). The Improving User Experience Design through Usability Evaluation of Mobile Multimedia Apps View