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For: Kaplan A, Cao H, FitzGerald JM, Iannotti N, Yang E, Kocks JWH, Kostikas K, Price D, Reddel HK, Tsiligianni I, Vogelmeier CF, Pfister P, Mastoridis P. Artificial Intelligence/Machine Learning in Respiratory Medicine and Potential Role in Asthma and COPD Diagnosis. J Allergy Clin Immunol Pract 2021;9:2255-61. [PMID: 33618053 DOI: 10.1016/j.jaip.2021.02.014] [Cited by in Crossref: 27] [Cited by in F6Publishing: 16] [Article Influence: 13.5] [Reference Citation Analysis]
Number Citing Articles
1 Zizaan A, Idri A. Machine learning based Breast Cancer screening: trends, challenges, and opportunities. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 2023. [DOI: 10.1080/21681163.2023.2172615] [Reference Citation Analysis]
2 Kocks JWH, Cao H, Holzhauer B, Kaplan A, FitzGerald JM, Kostikas K, Price D, Reddel HK, Tsiligianni I, Vogelmeier CF, Bostel S, Mastoridis P. Diagnostic Performance of a Machine Learning Algorithm (Asthma/Chronic Obstructive Pulmonary Disease [COPD] Differentiation Classification) Tool Versus Primary Care Physicians and Pulmonologists in Asthma, COPD, and Asthma/COPD Overlap. J Allergy Clin Immunol Pract 2023:S2213-2198(23)00081-8. [PMID: 36716998 DOI: 10.1016/j.jaip.2023.01.017] [Reference Citation Analysis]
3 Maiti A, Abarda A, Hanini M. A New Hybrid Artificial Intelligence Model for Diseases Identification. Innovations in Smart Cities Applications Volume 6 2023. [DOI: 10.1007/978-3-031-26852-6_76] [Reference Citation Analysis]
4 Rana M, Bhushan M. Machine learning and deep learning approach for medical image analysis: diagnosis to detection. Multimed Tools Appl 2022;:1-39. [PMID: 36588765 DOI: 10.1007/s11042-022-14305-w] [Reference Citation Analysis]
5 Connolly TM, Soflano M, Papadopoulos P. Introduction to XAI and Clinical Decision Support. Advances in Medical Technologies and Clinical Practice 2022. [DOI: 10.4018/978-1-6684-5092-5.ch002] [Reference Citation Analysis]
6 Skrobek D, Krzywanski J, Sosnowski M, Kulakowska A, Zylka A, Grabowska K, Ciesielska K, Nowak W. Implementation of deep learning methods in prediction of adsorption processes. Advances in Engineering Software 2022;173:103190. [DOI: 10.1016/j.advengsoft.2022.103190] [Reference Citation Analysis]
7 Gawlewicz-Mroczka A, Pytlewski A, Celejewska-Wójcik N, Ćmiel A, Gielicz A, Sanak M, Mastalerz L. Machine learning in the diagnosis of asthma phenotypes during coronavirus disease 2019 pandemic. Clin Transl Allergy 2022;12:e12201. [PMID: 36267429 DOI: 10.1002/clt2.12201] [Reference Citation Analysis]
8 Rani A, Sehrawat H. Role Of Machine Learning and Random Forest in Accuracy Enhancement During Asthma Prediction. 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) 2022. [DOI: 10.1109/icrito56286.2022.9965149] [Reference Citation Analysis]
9 Junaid SB, Imam AA, Balogun AO, De Silva LC, Surakat YA, Kumar G, Abdulkarim M, Shuaibu AN, Garba A, Sahalu Y, Mohammed A, Mohammed TY, Abdulkadir BA, Abba AA, Kakumi NAI, Mahamad S. Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey. Healthcare (Basel) 2022;10:1940. [PMID: 36292387 DOI: 10.3390/healthcare10101940] [Reference Citation Analysis]
10 Li D, Chen T, Ling Y, Jiang Y, Li Q, Albahri AS. A Methylation Diagnostic Model Based on Random Forests and Neural Networks for Asthma Identification. Computational and Mathematical Methods in Medicine 2022;2022:1-11. [DOI: 10.1155/2022/2679050] [Reference Citation Analysis]
11 Joumaa H, Sigogne R, Maravic M, Perray L, Bourdin A, Roche N. Artificial intelligence to differentiate asthma from COPD in medico-administrative databases. BMC Pulm Med 2022;22:357. [PMID: 36127649 DOI: 10.1186/s12890-022-02144-2] [Reference Citation Analysis]
12 Bhattacharyya N, Silver J, Bogart M, Kponee-shovein K, Cheng WY, Cheng M, Cheung HC, Duh MS, Hahn B. . JAA 2022;Volume 15:1401-12. [DOI: 10.2147/jaa.s378469] [Reference Citation Analysis]
13 Ma X, Chen T, Ge R, Cui C, Xu F, Lv Q. Time series-based PM2.5 concentration prediction in Jing-Jin-Ji area using machine learning algorithm models. Heliyon 2022;8:e10691. [PMID: 36185154 DOI: 10.1016/j.heliyon.2022.e10691] [Reference Citation Analysis]
14 Thurzo A, Urbanová W, Novák B, Czako L, Siebert T, Stano P, Mareková S, Fountoulaki G, Kosnáčová H, Varga I. Where Is the Artificial Intelligence Applied in Dentistry? Systematic Review and Literature Analysis. Healthcare (Basel) 2022;10:1269. [PMID: 35885796 DOI: 10.3390/healthcare10071269] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
15 Moradbakhti L, Schreibelmayr S, Mara M. Do Men Have No Need for “Feminist” Artificial Intelligence? Agentic and Gendered Voice Assistants in the Light of Basic Psychological Needs. Front Psychol 2022;13:855091. [DOI: 10.3389/fpsyg.2022.855091] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
16 Neelakantan S, Xin Y, Gaver DP, Cereda M, Rizi R, Smith BJ, Avazmohammadi R. Computational lung modelling in respiratory medicine. J R Soc Interface 2022;19:20220062. [DOI: 10.1098/rsif.2022.0062] [Reference Citation Analysis]
17 Chowdhury NK, Kabir MA, Rahman MM, Islam SMS. Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method. Comput Biol Med 2022;145:105405. [PMID: 35318171 DOI: 10.1016/j.compbiomed.2022.105405] [Cited by in Crossref: 14] [Cited by in F6Publishing: 11] [Article Influence: 14.0] [Reference Citation Analysis]
18 Babushkina D, Votsis A. Epistemo-ethical constraints on AI-human decision making for diagnostic purposes. Ethics Inf Technol 2022;24. [DOI: 10.1007/s10676-022-09629-y] [Reference Citation Analysis]
19 Gillissen A, Kochanek T, Zupanic M, Ehlers J. Medical Students' Perceptions towards Digitization and Artificial Intelligence: A Mixed-Methods Study. Healthcare (Basel) 2022;10. [PMID: 35455898 DOI: 10.3390/healthcare10040723] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 5.0] [Reference Citation Analysis]
20 Hassan Naqvi SZ, Choudhry MA. Embedded system design for classification of COPD and pneumonia patients by lung sound analysis. Biomed Tech (Berl) 2022. [PMID: 35405045 DOI: 10.1515/bmt-2022-0011] [Reference Citation Analysis]
21 Choudhury S, Chohan A, Dadhwal R, Vakil AP, Franco R, Taweesedt PT. Applications of artificial intelligence in common pulmonary diseases. Artif Intell Med Imaging 2022; 3(1): 1-7 [DOI: 10.35711/aimi.v3.i1.1] [Reference Citation Analysis]
22 Persaud YK. Using Telemedicine to Care for the Asthma Patient. Curr Allergy Asthma Rep 2022. [PMID: 35107807 DOI: 10.1007/s11882-022-01030-5] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
23 Lidströmer N, Davids J, Sood HS, Ashrafian H. AIM in Primary Healthcare. Artificial Intelligence in Medicine 2022. [DOI: 10.1007/978-3-030-64573-1_340] [Reference Citation Analysis]
24 Haider NS, Behera A. Computerized lung sound based classification of asthma and chronic obstructive pulmonary disease (COPD). Biocybernetics and Biomedical Engineering 2022;42:42-59. [DOI: 10.1016/j.bbe.2021.12.004] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
25 Xie Y, Lu L, Gao F, He SJ, Zhao HJ, Fang Y, Yang JM, An Y, Ye ZW, Dong Z. Integration of Artificial Intelligence, Blockchain, and Wearable Technology for Chronic Disease Management: A New Paradigm in Smart Healthcare. Curr Med Sci 2021;41:1123-33. [PMID: 34950987 DOI: 10.1007/s11596-021-2485-0] [Cited by in Crossref: 5] [Cited by in F6Publishing: 7] [Article Influence: 2.5] [Reference Citation Analysis]
26 Mazarakis A. Gamification Reloaded. i-com 2021;20:279-294. [DOI: 10.1515/icom-2021-0025] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
27 Liao KM, Liu CF, Chen CJ, Shen YT. Machine Learning Approaches for Predicting Acute Respiratory Failure, Ventilator Dependence, and Mortality in Chronic Obstructive Pulmonary Disease. Diagnostics (Basel) 2021;11:2396. [PMID: 34943632 DOI: 10.3390/diagnostics11122396] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
28 Ooko SO, Mukanyiligira D, Munyampundu JP, Nsenga J. Edge AI-based Respiratory Disease Recognition from Exhaled Breath Signatures. 2021 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) 2021. [DOI: 10.1109/jeeit53412.2021.9634140] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
29 Brogi S, Calderone V. Artificial Intelligence in Translational Medicine. IJTM 2021;1:223-85. [DOI: 10.3390/ijtm1030016] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
30 Purnomo G, Yeo SJ, Liow MHL. Artificial intelligence in arthroplasty. Arthroplasty 2021;3:37. [PMID: 35236494 DOI: 10.1186/s42836-021-00095-3] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
31 Mariani S, Metting E, Lahr MMH, Vargiu E, Zambonelli F. Developing an ML pipeline for asthma and COPD: The case of a Dutch primary care service. Int J of Intelligent Sys 2021;36:6763-6790. [DOI: 10.1002/int.22568] [Reference Citation Analysis]
32 Becirovic LS, Deumic A, Pokvic LG, Badnjevic A. Aritificial Inteligence Challenges in COPD management: a review. 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) 2021. [DOI: 10.1109/bibe52308.2021.9635374] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
33 Zhao S, Wang P, Heidari AA, Chen H, Turabieh H, Mafarja M, Li C. Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease. Comput Biol Med 2021;134:104427. [PMID: 34020128 DOI: 10.1016/j.compbiomed.2021.104427] [Cited by in Crossref: 37] [Cited by in F6Publishing: 42] [Article Influence: 18.5] [Reference Citation Analysis]
34 Lidströmer N, Davids J, Sood HS, Ashrafian H. AIM in Primary Healthcare. Artificial Intelligence in Medicine 2021. [DOI: 10.1007/978-3-030-58080-3_340-1] [Reference Citation Analysis]