Applications of Artificial Intelligence in Cardiology. The Future is Already Here

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Predicting Acute Kidney Injury after Cardiac Surgery by Machine Learning Approaches

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Babu, A., Onesimu, J. A., & Sagayam, K. M. (2021) · E3S Web of Conferences · doi:10.1051/e3sconf/202129701074 · Cited by 33 · see citing works

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Nittas, V., Daniore, P., Landers, C., Gille, F., Amann, J., Hubbs, S., Puhan, M. A., Vayena, E., & Blasimme, A. (2023) · PLOS Digital Health · doi:10.1371/journal.pdig.0000189 · Cited by 19 · see citing works

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Zhu, J., Yang, F., Wang, Y., Wang, Z., Xiao, Y., Wang, L., & Sun, L. (2024) · Journal of Medical Internet Research · doi:10.2196/57641 · Cited by 16 · see citing works

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Reporting of screening and diagnostic AI rarely acknowledges ethical, legal, and social implications: a mass media frame analysis

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Olaniyan, O. T., Adetunji, C. O., Dare, A., Adeyomoye, O., Adeniyi, M. J., & Enoch, A. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-90277-9.00009-2 · Cited by 8 · see citing works

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Tabla, S., Calafiore, M., Legrand, B., Descamps, A., Andre, C., Rochoy, M., & Chazard, E. (2022) · Studies in health technology and informatics · doi:10.3233/shti220207 · Cited by 8 · see citing works

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Orwat, S., Arvanitaki, A., & Diller, G. (2021) · Revista Española de Cardiología (English Edition) · doi:10.1016/j.rec.2020.12.008 · Cited by 7 · see citing works

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Barakat, M. T., Girotra, M., & Banerjee, S. (2022) · Endoscopy International Open · doi:10.1055/a-1591-0258 · Cited by 7 · see citing works

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Maksakova, A. Y., Kim, S. A., Ashurova, M. A., Sergeeva, I. G., Shlyakhtina, N. V., Epifanov, R., & Stolyarov, S. S. (2024) · Russian Journal of Cardiology · doi:10.15829/1560-4071-2024-5907 · Cited by 5 · see citing works

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Indolfi, C., Agostoni, P., Barillà, F., Barison, A., Benenati, S., Bilo, G., Boriani, G., Brunetti, N. D., Calabrò, P., Carugo, S., et al. (2025) · Journal of Cardiovascular Medicine · doi:10.2459/jcm.0000000000001716 · Cited by 5 · see citing works

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Nayak, K. R., Skupin, A., Schempp, T., Garberich, R., Bhavnani, S. P., & Henry, T. D. (2021) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2021.103869 · Cited by 5 · see citing works

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Khan, M. I., Murtaza, R. S., Ali, M. H., Ashraf, M. S., Yazdani, S., & Yaseen, A. (2022) · Anaesthesia Pain & Intensive Care · doi:10.35975/apic.v26i1.1776 · Cited by 4 · see citing works

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Muiños, P. J. A., Vicente-Palacios, V., Pérez-Sánchez, P., Sampedro-Gómez, J., Sánchez-Puente, A., Dorado-Díaz, P. I., y, L. N.-F., Salinas, P., Gutiérrez-García, H., Amat-Santos, I. J., et al. (2022) · Journal of Personalized Medicine · doi:10.3390/jpm12091413 · Cited by 4 · see citing works

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Sbrollini, A., Tomassini, S., Emaldi, E., Marcantoni, I., Morettini, M., Dragoni, A. F., & Burattini, L. (2022) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc48229.2022.9871124 · Cited by 4 · see citing works

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Artificial Neural Networks in Forensic Medicine (review)

KotsyubynskaYu.Z, Kozan, N. M., Zelenchuk, G. M., Voloshynovych, V. M., & Kotsyubynsky, A. O. (2021) · Medico-Legal Update · doi:10.37506/mlu.v21i3.3012 · Cited by 4 · see citing works

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Sahu, V. K., Ranjan, A., Paul, M. K., Nagar, S., Devarajan, S., Aich, J., & Basu, S. (2023) · Advances in healthcare information systems and administration book series · doi:10.4018/978-1-6684-5422-0.ch014 · Cited by 3 · see citing works

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Jiang, S., Ma, L., Pan, K., & Zhang, H. (2025) · Journal of Global Health · doi:10.7189/jogh.15.04103 · Cited by 3 · see citing works

Applicability of Machine Learning Algorithms in Diagnosis of Atrial Fibrillation and LQTS by Electrocardiogram Interpretation: A Systematic Review

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Early-, Late-, and Very Late-Term Prediction of Target Lesion Failure in Coronary Artery Stent Patients: An International Multi-Site Study

Pachl, E., Zamanian, A., Stieler, M., Bahr, C., & Ahmidi, N. (2021) · Applied Sciences · doi:10.3390/app11156986 · Cited by 3 · see citing works

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Saadat, M. N., Kabir, H., Shuaib, M., Nassr, R. M., Husen, M. N., & Osman, H. (2021) · International Conference on Ubiquitous Information Management and Communication (IMCOM) · doi:10.1109/imcom51814.2021.9377431 · Cited by 3 · see citing works

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Ganipineni, V. D. P., Gutlapalli, S. D., Paramsothy, J., Okorie, I. J., Ugwendum, D. F., Farid, M., Fabián, D., Kailayanathan, T., Piccione, G., Idavalapati, A. S. K. K., et al. (2023) · Preprints.org · doi:10.20944/preprints202305.1061.v1 · Cited by 3 · see citing works

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Borges, J. Y. V. (2024) · medRxiv · doi:10.1101/2024.06.29.24309706 · Cited by 3 · see citing works

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Santamaría, A., Maldonado, C. A., Sánchez-Quiñones, B., Vega, N. I., Gónzalez, P., & Carrasco, R. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14093023 · Cited by 2 · see citing works

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Şirin, H. B., & ALARÇİN, E. Y. (2025) · Anadolu Üniversitesi Sosyal Bilimler Dergisi · doi:10.18037/ausbd.1529145 · Cited by 3 · see citing works

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Hamad, A. K., & Haji, J. (2025) · Current Cardiology Reviews · doi:10.2174/011573403x334095241205041550 · Cited by 2 · see citing works

Semantic and Visual Pathways to Artificial intelligence Literacy. Challenges and Lessons Learned in the Medical Domain

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Augmented Medicine: Changing Clinical Practice with Artificial Intelligence

Briganti, G. (2021) · Computational biology · doi:10.1007/978-3-030-69951-2_14 · Cited by 2 · see citing works

Automatic Classification of Valve Diseases Through Natural Language Processing in Spanish and Active Learning

Pérez-Sánchez, P., Vicente-Palacios, V., Barreiro‐Pérez, M., Díaz-Peláez, E., Sánchez-Puente, A., Sampedro-Gómez, J., García‐Galindo, A., Dorado-Díaz, P. I., & Sanchez, P. L. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-88163-4_4 · Cited by 2 · see citing works

Prediction of the left ventricular ejection fraction by machine learning algorithms based on heart rate variability parameters in patients with ischemic heart diseasePreprint

Tian, X., Lu, P., Han, T., Li, J., Cai, Q., Liu, G., Kang, L., Yang, M., Liu, Y., & Lu, Q. (2022) · Research Square · doi:10.21203/rs.3.rs-1926372/v1 · Cited by 2 · see citing works

A critical evaluation of the National Innovation Accelerator programme: comparing eHealth and medical device-based innovations

Mansel, C. O., Sarnataro, R., & Liu, P. J. (2021) · British Journal of Healthcare Management · doi:10.12968/bjhc.2020.0064 · Cited by 1 · see citing works

Artificial Intelligence and Machine Learning for Medical Applications and Digital Health

Visco, V., Vecchione, C., D’Angelo, G., & Ciccarelli, M. (2025) · Engineering cyber-physical systems and critical infrastructures · doi:10.1007/978-3-031-70775-9_1 · Cited by 1 · see citing works

AI-driven Innovations in Cardiology: A Comprehensive Review of Effectiveness and Challenges

Ismael, A., Azzawi, M., Abdulaaima, A., Mohammed, M., Ullah, M., & Ihtishamul, H. (2025) · Clinical Medicine Research · doi:10.11648/j.cmr.20251404.15 · Cited by 1 · see citing works

Artificial intelligence in aortic CT angiography: current applications and future perspectives

Xu, J., Liu, J., & Cao, G. (2026) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2025.1674486 · Cited by 1 · see citing works

Deep Learning and Analysis of Cardiovascular Imaging

Castillo-Rivera, S., & Castillo-Rivera, A. M. (2022) · Advances in computational intelligence and robotics book series · doi:10.4018/978-1-6684-5381-0.ch013 · Cited by 1 · see citing works

Role of biostatistics and biometrics based artificial intelligence in human medicare system in 2050

Garg, A. P., & Bisht, N. (2023) · Biometrics & Biostatistics International Journal · doi:10.15406/bbij.2023.12.00379 · Cited by 1 · see citing works

SmartBeats: Riding the Wave of AI Innovation in Cardiovascular Pharmacology

Alex, H. (2024) · International Journal For Multidisciplinary Research · doi:10.36948/ijfmr.2024.v06i01.12587 · Cited by 1 · see citing works

Impact of computing platforms on classifier performance in heart disease prediction

Akram, B. A., Irfan, M., Zafar, A., Khan, S., & Shaheen, R. (2025) · Mehran University Research Journal of Engineering and Technology · doi:10.22581/muet1982.3268 · Cited by 1 · see citing works

An Overview of Multi Agent System for Sports and Healthcare Industry

Dalal, N., & Chhabra, I. (2021) · Oriental journal of computer science and technology · doi:10.13005/ojcst13.0203.07 · Cited by 1 · see citing works

El escenario y la relevancia de la investigación clínica en la época de los macrodatos

Fernandez-Berges, D. J., Lozano, L., & Félix-Redondo, F. J. (2019) · REC CardioClinics · doi:10.1016/j.rccl.2019.10.002

Revista Española de Cardiología: annual report 2019

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Machine Learning Application for Blood Pressure Telemonitoring over Wireless Sensors Network

Attaoui, A. E., Largo, S., Jilbab, A., & Bourouhou, A. (2020) · Lecture notes in networks and systems · doi:10.1007/978-3-030-53970-2_7

Planificación Informática en la seguridad de información del Distrito de Salud 23D03

Rivera, A. D. P., Logroño, D. J. B., & Galarza-Sánchez, P. C. (2020) · Revista Arbitrada Interdisciplinaria de Ciencias de la Salud Salud y Vida · doi:10.35381/s.v.v4i8.1077

A fond farewell from the editors of Revista Española de Cardiología 2015-2021

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Chamorro, M. E. R., & Gamero, A. R. M. (2021) · Revista Española de Cardiología · doi:10.1016/j.recesp.2021.05.011

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Nijman, S. W. J. (2022) · doi:10.33540/1375

Evaluation Of Random Forest Model on Influenza Like Illness ILI Surveillance Based on Patients Attending Fever OPD During COVID 19 Pandemic at Tertiary Care Hospital In Raigad District Maharashtra India

N, D. T. A. Y. M. R. K. (2022) · Journal of Pharmaceutical Negative Results · doi:10.47750/pnr.2022.13.s08.488

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Nuryani, N., Purnama, B., Legowo, B., Utari, U., Riyatun, R., Suharno, S., Yunianto, M., & Lestari, W. I. (2023) · SEMAR (Jurnal Ilmu Pengetahuan Teknologi dan Seni bagi Masyarakat) · doi:10.20961/semar.v12i2.75521

АНАЛІЗ ПОТЕНЦІЙНИХ ВИКЛИКІВ ТА МОЖЛИВОСТЕЙ ДЛЯ ВИКОРИСТАННЯ МАШИННОГО НАВЧАННЯ У ПРОГНОЗУВАННІ РИЗИКУ СЕРЦЕВО-СУДИННИХ ЗАХВОРЮВАНЬ НА ОСНОВІ НАБОРУ ФІЗІОЛОГІЧНИХ ДАНИХ

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