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How Artificial Intelligent Approaches Support Medical Decisions and Patients’ Wellbeing

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 556))

Abstract

In modern, constantly developing society a lot of people suffer from critical, serious diseases and need almost everyday medical assistance. Accordingly, famous health big players and respectable research institutions all over the world have been recognized necessity of development of sophisticated specific software services that will help patients but also old and disabled people to successfully cope with everyday lives. Such services are more and more personalized in order to highly support patients’ quality of life and wellbeing. For achieving high-quality medical services, it is necessary to collect, manage, analyze, and use huge amounts of patient’s complex big data (like clinical, environmental, nutritional, physical activities…). Such data must be properly processed and obtained results must be showed in a user-friendly manner to recommend adequate treatment and actions and to improve patient’s health related issues.

Supported by rapid development of different new technologies and concepts like Internet of Things (IoT), Smart environments (SE), Smart and mobile devices, and so on, medical areas faced essential shift ahead.

The intention of this paper is to give a brief overview on modern approaches of Artificial Intelligence and their influences on medical decisionsSome typical cases and systems will be presented.

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References

  1. Burmester, G.R.: Rheumatology 4.0: big data, wearables and diagnosis by computer. Ann. Rheum. Dis. 77(7), 963–965 (2018)

    Google Scholar 

  2. Cicirelli, G., Marani, R., Petitti, A., Milella, A., D’Orazio, T.: Ambient assisted living: a review of technologies, methodologies and future perspectives for healthyaging of population. Sensors 21, 3549 (2021). https://doi.org/10.3390/s21103549

    Article  Google Scholar 

  3. Claeys, A., Vialatte, J.S.: Advances in genetics: towards a Precision Medicine? Technological, social and ethical scientific issues of personalised medicine [Les progrès de la génétique: versune médecine de précision? Les enjeux scientifiques, technologiques, sociaux et éthiques de la médecine personnalisée] (2014)

    Google Scholar 

  4. Yang, D., et al.: Expert consensus on the metaverse in medicine. Clin. eHealth 5, 1–9 (2022). https://doi.org/10.1016/j.ceh.2022.02.001

    Article  Google Scholar 

  5. EC: SWD 436 final: - Use of ‘-omics’ technologies in the development of personalised medicine (2013). https://ec.europa.eu/research/health/pdf/2013-10_personalised_medicine_en.pdf

  6. Hassanalieragh, M., et al.: Health monitoring and management using Internet-of-Things (IoT) sensing with cloud-based processing: Opportunities and challenges. In: 2015 IEEE international conference on services computing, pp. 285–292. IEEE. (2015)

    Google Scholar 

  7. He, J., Baxter, S.L., Xu, J., Xu, J., Zhou, X., Zhang, K.: The practical implementation of artificial intelligence technologies in medicine. Nat. Med. 25, 30–36 (2019)

    Article  Google Scholar 

  8. Hiremath, S., Yang, G., Mankodiya, K.: Wearable Internet of Things: concept, architectural components and promises for person-centered healthcare. In: 2014 4th International Conference on Wireless Mobile Communication and Healthcare-Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (MOBIHEALTH), pp. 304–307. IEEE. (2014)

    Google Scholar 

  9. Ivanović, M., Ninković, S.: Personalized healthcare and agent technologies. In: Jezic, G., Kusek, M., Chen-Burger, Y.H., Howlett, R., Jain, L. (eds.) 11th KES International Symposium on Agent and Multi-Agent Systems, Technologies and Applications, Vilamoura, Portugal, 21–23 June, SIST, vol. 74, pp. 3–11, Springer, Cham (2017)

    Google Scholar 

  10. Ivanovic, M.: Role of artificial intelligence in medical predictions, interventions and quality of life. In: 2021 7th International Conference on Systems and Informatics (ICSAI), pp. 1–4 (2021). https://doi.org/10.1109/ICSAI53574.2021.9664199

  11. Lahiri, C., Pawar, S., Mishra, R.: Precision medicine and future of cancer treatment. Precis. Cancer Med. 2, 33 (2019). (AME Publishing)

    Google Scholar 

  12. Lee, L.H. et al.: All one needs to know about metaverse: a complete survey on technological singularity, virtual ecosystem, and research agenda. arXiv preprint arXiv:2110.05352. (2021)

  13. Lloret, J., Canovas, A., Sendra, S., Parra, L.: A smart communication architecture for ambient assisted living. IEEE Commun. Mag. 53, 26–33 (2015)

    Article  Google Scholar 

  14. Lv, Z., Chirivella, J., Gagliardo, P.: Bigdata oriented multimedia mobile health applications. J. Med. Syst. 40(5), 1–10 (2016)

    Article  Google Scholar 

  15. Maddison, R., Cartledge, S., Rogerson, M., Goedhart, N.S., Ragbir Singh, T., Neil, C., et al.: Usefulness of wearable cameras as a tool to enhance chronic disease self-management: scoping review. JMIR Mhealth Uhealth. 7(1), e10371 (2019)

    Article  Google Scholar 

  16. Qian, R., Long, Y.: Wearable chemosensors: a review of recent progress. Chem. Open 7(2), 118–130 (2018)

    Google Scholar 

  17. Ray, P.P., Dash, D., De, D.: A systematic review of wearable systems for cancer detection: current state and challenges. J Med Syst 41(11), 180 (2017)

    Article  Google Scholar 

  18. Salih, A., Abraham A.: Ambient Intelligence Assisted Healthcare Monitoring, pp. 192. LAP LAMBERT Academic Publishing (2016)

    Google Scholar 

  19. Siddique, M., Mirza, M.A., Ahmad, M., Chaudhry, J., Islam, R.: A survey of big data security solutions in healthcare. In: Beyah, R., Chang, B., Li, Y., Zhu, S. (eds.) SecureComm 2018. LNICSSITE, vol. 255, pp. 391–406. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-01704-0_21

    Chapter  Google Scholar 

  20. https://medlineplus.gov/genetics/understanding/precisionmedicine/definition/

  21. Venne, J., et al.: International consortium for personalized medicine: an international survey about the future of personalized medicine. Pers. Med. 17(2), 89–100 (2020)

    Article  Google Scholar 

  22. Wu, M., Luo, J.: Wearable technology applications in healthcare: a literature review. Online J. Nurs. Inform. 23(3) (2019)

    Google Scholar 

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Correspondence to Mirjana Ivanovic .

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Ivanovic, M. (2023). How Artificial Intelligent Approaches Support Medical Decisions and Patients’ Wellbeing. In: Krouska, A., Troussas, C., Caro, J. (eds) Novel & Intelligent Digital Systems: Proceedings of the 2nd International Conference (NiDS 2022). NiDS 2022. Lecture Notes in Networks and Systems, vol 556. Springer, Cham. https://doi.org/10.1007/978-3-031-17601-2_18

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