Annoni, A., Benczúr, P., Bertoldi, P., Delipetrev, B., Prato, G., Feijóo, C., Fernández-Macías, E., Gutiérrez, E., Portela, M., Junklewitz, H., Cobo, M., Martens, B., Nascimento, S., Nativi, S., Pólvora, A., Martin, J., Tolan, S., Tuomi, I., & Alujević, L. (2018). Artificial Intelligence: A European Perspective. https://doi.org/10.2760/11251">https://doi.org/10.2760/11251.
Atun, R. (2012). Health systems, systems thinking and innovation. Health Policy and Planning, 27(4), 4-8. https://doi.org/10.1093/HEAPOL/CZS088">https://doi.org/10.1093/HEAPOL/CZS088.
Baloi, A., Belean, B., Turcu, F. et al. (2023). GPU-based similarity metrics computation and machine learning approaches for string similarity evaluation in large datasets. Soft Computing, 28, 3465-3477. https://doi.org/10.1007/s00500-023-08687-8">https://doi.org/10.1007/s00500-023-08687-8.
Boncea, I. (2015). Turning Brain Drain into Brain Gain: Evidence from Romania's Medical Sector. Procedia. Economics and Finance, 20, 80-87. https://doi.org/10.1016/S2212-5671(15)00050-7">https://doi.org/10.1016/S2212-5671(15)00050-7.
Braghina, C., Peptenatu, D., Draghici, C., Pintilii, R.D., Schvab, A. (2011). Territorial management within the systems affected by mining. Case study the South-Vestern Development Region in Romania. Iranian Journal Of Environmental Health Science & Engineering, 8(4), 315-324.
Buch, V., Ahmed, I., & Maruthappu, M. (2018). Artificial intelligence in medicine: current trends and future possibilities. The British Journal of General Practice: The Journal of the Royal College of General Practitioners, 68(668), 143-144. https://doi.org/10.3399/bjgp18X695213">https://doi.org/10.3399/bjgp18X695213.
Chan, C.Y.T. and Petrikat, D. (2023). Strategic applications of artificial intelligence in healthcare and medicine. Journal of Medical and Health Studies, 4(3), 58-68. https://doi.org/10.32996/jmhs.2023.4.3.8">https://doi.org/10.32996/jmhs.2023.4.3.8.
Cohen, I., Evgeniou, T., Gerke, S., & Minssen, T. (2020). The European artificial intelligence strategy: implications and challenges for digital health. The Lancet. Digital health, 2(7), e376-e379. https://doi.org/10.1016/s2589-7500(20)30112-6">https://doi.org/10.1016/s2589-7500(20)30112-6.
Conejar, R., & Kim, H. (2015). Proposed Architecture for U-Healthcare Systems. International Journal of Software Engineering and its Applications, 9, 213-218. https://doi.org/10.14257/IJSEIA.2015.9.7.22">https://doi.org/10.14257/IJSEIA.2015.9.7.22.
Parker, E., & Campbell, J. (1998). Measuring access to primary medical care: some examples of the use of geographical information systems. Health & Place, 4(2), 183-93. https://doi.org/10.1016/S1353-8292(98)00010-0">https://doi.org/10.1016/S1353-8292(98)00010-0.
Eshwar, M.S. (2023). Exploring the potential of artificial intelligence in healthcare: possibilities and challenges. International Scientific Journal of Engineering and Management, 02(04). https://doi.org/10.55041/isjem00408">https://doi.org/10.55041/isjem00408
Fiandaca, M., Mapstone, M., Connors, E., Jacobson, M., Monuki, E., Malik, S., Macciardi, F., & Federoff, H. (2017). Systems healthcare: a holistic paradigm for tomorrow. BMC Systems Biology, 11. https://doi.org/10.1186/s12918-017-0521-2">https://doi.org/10.1186/s12918-017-0521-2.
Fitzek, S., & Choi, Ê. (2023). Potential Impact and Challenges of Implementing Artificial Intelligence in the Romanian Healthcare System. Postmodernism Problems. https://doi.org/10.46324/pmp2302148">https://doi.org/10.46324/pmp2302148.
Fogel, A., & Kvedar, J. (2018). Artificial intelligence powers digital medicine. NPJ Digital Medicine, 1. https://doi.org/10.1038/s41746-017-0012-2">https://doi.org/10.1038/s41746-017-0012-2.
Horgan, D., Romão, M., Morré, S., & Kalra, D. (2019). Artificial Intelligence: Power for Civilisation – and for Better Healthcare. Public Health Genomics, 22, 145-161. https://doi.org/10.1159/000504785">https://doi.org/10.1159/000504785.
Lee, D., & Yoon, S. (2021). Application of Artificial Intelligence-Based Technologies in the Healthcare Industry: Opportunities and Challenges. International Journal of Environmental Research and Public Health, 18. https://doi.org/10.3390/ijerph18010271">https://doi.org/10.3390/ijerph18010271.
Martínez-García, M., & Hernández-Lemus, E. (2013). Health Systems as Complex Systems. American Journal of Operations Research, 2013, 113-126. https://doi.org/10.4236/AJOR.2013.31A011">https://doi.org/10.4236/AJOR.2013.31A011.
McDougall, R. (2018). Computer knows best? The need for value-flexibility in medical AI. Journal of Medical Ethics, 45, 156 - 160. https://doi.org/10.1136/medethics-2018-105118">https://doi.org/10.1136/medethics-2018-105118.
Meszaros, J., Minari, J., & Huys, I. (2022). The future regulation of artificial intelligence systems in healthcare services and medical research in the European Union. Frontiers in Genetics, 13. https://doi.org/10.3389/fgene.2022.927721">https://doi.org/10.3389/fgene.2022.927721.
Miller, D., & Brown, E. (2017). Artificial Intelligence in Medical Practice: The Question to the Answer?. The American Journal of Medicine, 131(2), 129-133. https://doi.org/10.1016/j.amjmed.2017.10.035">https://doi.org/10.1016/j.amjmed.2017.10.035.
Normand, C., & Thomas, S. (2008). Health Care Financing and the Health System. Health Care Costs, Structures and Trends, 160-174. https://doi.org/10.1016/B978-012373960-5.00167-2">https://doi.org/10.1016/B978-012373960-5.00167-2.
Papanicolas, I., Kringos, D., Klazinga, N., & Smith, P. (2013). Health system performance comparison: new directions in research and policy. Health Policy, 112(1-2), 1-3. https://doi.org/10.1016/j.healthpol.2013.07.018">https://doi.org/10.1016/j.healthpol.2013.07.018.
Pelău, C., Barbul, M., & Bojescu, I. (2022). A conceptual comparative approach on personal ai assistants and external service robots. Proceedings of the International Conference on Business Excellence, 16(1), 1466-1474. https://doi.org/10.2478/picbe-2022-0134">https://doi.org/10.2478/picbe-2022-0134.
Pelăuu, C., Volkmann, C., Barbul, M., & Bojescu, I. (2023). The role of attachment in improving consumer-ai interactions. Proceedings of the International Conference on Business Excellence, 17(1), 1075-1084. https://doi.org/10.2478/picbe-2023-0097">https://doi.org/10.2478/picbe-2023-0097.
Peptenatu, D., Băloi, A.M., Andronic, O., Bolocan, A., Cioran, N., Gruia, A.K., et al. (2024). Spatio-temporal pattern of tuberculosis distribution in Romania and particulate matter pollution associated with risk of infection. GeoHealth, 8, e2023GH000972, https://doi.org/10.1029/2023GH000901">https://doi.org/10.1029/2023GH000901.
Peptenatu, D., Merciu, C., Merciu, G., Draghici, C., Cercleux, L. (2012). Specific features of environment risk management in emerging territorial structures. Carpathian Journal of Earth and Environmental Sciences, 7(2), 135-143.
Peptenatu, D., Nedelcu, I.D., Pop, C.S., Simion, A.G., Furtunescu, F., Burcea, M., et al. (2023). The spatial-temporal dimension of oncological prevalence and mortality in Romania. GeoHealth, 7, e2023GH000901. https://doi.org/10.1029/2023GH000901">https://doi.org/10.1029/2023GH000901.
Puaschunder, J. (2020). The Potential for Artificial Intelligence in Healthcare. Digital Health eJournal. https://doi.org/10.2139/ssrn.3525037">https://doi.org/10.2139/ssrn.3525037.
Rastogi, M. (2023). The growth and potential of ai applications in medicine and healthcare. Indian Journal of Applied Research, 17-18. https://doi.org/10.36106/ijar/7206074">https://doi.org/10.36106/ijar/7206074.
Sarah, D., Massimo, C., Daniel, N., Jiri, H., Emilio, G., Emilia, G., Miguel, V., Riccardo, R., Giuditta, D., Montserrat, L., Sofia, S., & Melisande, C. (2020). AI Watch: AI Uptake in Health and Healthcare, 2020. Research Papers in Economics. https://doi.org/10.2760/948860">https://doi.org/10.2760/948860.
Vladescu, C., Scintee, S., Olsavszky, V., Hernández-Quevedo, C., & Sagan, A. (2016). Romania: Health System Review. Health Systems in Transition, 18 4, 1-170.
Wahl, B., Cossy-Gantner, A., Germann, S., & Schwalbe, N. (2018). Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings? BMJ Global Health, 3. https://doi.org/10.1136/bmjgh-2018-000798">https://doi.org/10.1136/bmjgh-2018-000798.
Wang, F., & Preininger, A. (2019). AI in Health: State of the Art, Challenges, and Future Directions. Yearbook of Medical Informatics, 28, 16 - 26. https://doi.org/10.1055/s-0039-1677908">https://doi.org/10.1055/s-0039-1677908.
Wen, Z., & Huang, H. (2023). The potential for artificial intelligence in healthcare. Journal of Commercial Biotechnology. https://doi.org/10.5912/jcb1327">https://doi.org/10.5912/jcb1327.
Wickramasinghe, N., Chalasani, S., Boppana, R., & Madni, A. (2007). Healthcare System of Systems. 2007 IEEE International Conference on System of Systems Engineering, 1-6. https://doi.org/10.1109/SYSOSE.2007.4304283">https://doi.org/10.1109/SYSOSE.2007.4304283.
Yu, K., Beam, A., & Kohane, I. (2019). Artificial Intelligence in Healthcare. Artificial Intelligence and Machine Learning for Business for Non-Engineers. https://doi.org/10.1201/9780367821654-8">https://doi.org/10.1201/9780367821654-8.
Zaitseva, E., Kvassay, M., Levashenko, V., Kostolny, J., & Pancerz, K. (2015). Estimation of a Healthcare System Based on the Importance Analysis. Computational Intelligence, Medicine and Biology, Krzysztof Pancerz, Elena Zaitseva (eds.), Springer International Publishing, 3-22. https://doi.org/10.1007/978-3-319-16844-9_1">https://doi.org/10.1007/978-3-319-16844-9_1.