Artificial Intelligence in Intelligent Healthcare Systems–Opportunities and Challenges

Petreska, Anita and Ristevski, Blagoj (2024) Artificial Intelligence in Intelligent Healthcare Systems–Opportunities and Challenges. Lecture Notes in Networks and Systems, 999. pp. 123-143. ISSN 2367-3370

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Abstract

Artificial intelligence (AI) has the potential to revolutionize healthcare by improving the accuracy, speed and efficiency of biomedical systems by providing intelligent solutions that enable healthcare providers to make smart decisions and generate new insights and discoveries. Given the exponential increase in big medical data, existing classic hospital information systems are not adequate for data analysis. Artificial intelligence plays a key role in remote patient monitoring and telemedicine, especially in underdeveloped areas or during emergencies using virtual consultations. Biomedical systems use machine learning (ML) and deep learning (DL) algorithms that enable more efficient analysis of large amounts of health data, including electronic health records, medical images, and patient histories. By analyzing patient data from a variety of sources: electronic health records, real-time patient registries, and research articles, machine learning algorithms can identify changes in a patient’s condition and alert healthcare providers to potential problems before they become serious. The integration of artificial intelligence (AI), machine learning (ML), data mining (DM), and data integration has ushered in new technology for transformative healthcare.

Item Type:	Article
Subjects:	Scientific Fields (Frascati) > Natural sciences > Computer and information sciences Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering
Divisions:	Faculty of Information and Communication Technologies
Depositing User:	Prof. d-r. Blagoj Ristevski
Date Deposited:	23 Oct 2024 17:24
Last Modified:	23 Oct 2024 17:24
URI:	https://eprints.uklo.edu.mk/id/eprint/10385

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