Applications of Artificial Intelligence Methods in Medicine(Conference Paper)
- aUniversity of Novi Sad, Faculty of Sciences, Novi Sad, Serbia
- bFachber. VI Informatik & Medien, Berliner Hochschule für Technik, Berlin, Germany
Abstract
In contemporary society more people suffer from chronic diseases. They are the leading cause of death worldwide. On the other hand, the world population is getting older and the need for health care is of high priority. World prominent health stakeholders have recognized the importance of development of sophisticated medical services. For development of wide variety of intelligent decision support systems collection of enormous amounts of patient's complex data is needed. Data should be properly aggregated, analyzed and acquired knowledge should be presented to the doctors/caregivers to support them in recommending adequate treatment for achieving patient's wellbeing. To achieve this in modern approaches the focus is on personalized medicine and healthcare. Additionally in such systems it is helpful inclusion of e-coaching facilities supported by agents and metaverse technologies. © 2023 IEEE.
Indexed keywords
| Engineering controlled terms: | Artificial intelligenceDecision support systems |
|---|---|
| Engineering uncontrolled terms | Agents technologyArtificial intelligence in medicineArtificial intelligence methodsCauses of deathChronic diseaseIntelligent decision-support systemsMedical servicesPersonalization and recommendation in medicinePersonalizationsWorld population |
| Engineering main heading: | Patient treatment |
Funding details
| Funding sponsor | Funding number | Acronym |
|---|---|---|
| Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja | 451-03-47/2023-01/200125 | MPNTR |
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ACKNOWLEDGMENT The first author gratefully acknowledge the financial support of the Ministry of Science, Technological Development and Innovation of the Republic of Serbia (Grant No. 451-03-47/2023-01/200125).
- ISBN: 979-835032006-0
- Source Type: Conference Proceeding
- Original language: English
- DOI: 10.1109/ICIT58056.2023.10226107
- Document Type: Conference Paper
- Volume Editors: Jaber K.M.
- Publisher: Institute of Electrical and Electronics Engineers Inc.
© Copyright 2023 Elsevier B.V., All rights reserved.
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