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A Review of the Application of Artificial Intelligence in Medicine: From Data to Personalised Models

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Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering (AAI 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 659))

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Abstract

Artificial intelligence leverages sophisticated computation and inference to generate insights, enables the system to reason and learn, and empowers decision making of clinicians. Starting from data (medical images, biomarkers, patients’ data) and using powerful tools such as convolutional neural networks, classification, and regression models etc., it aims at creating personalized models, adapted to each patient, which can be applied in real clinical practice as a decision support system to doctors. This chapter discusses the use of AI in medicine, with an emphasis on the classification of patients with carotid artery disease, evaluation of patient conditions with familiar cardiomyopathy, and COVID-19 models (personalized and epidemiological). The chapter also discusses model integration into a cloud-based platform to deal with model testing without any special software needs. Although AI has great potential in the medical field, the sociological and ethical complexity of these applications necessitates additional analysis, evidence of their medical efficacy, economic worth, and the creation of multidisciplinary methods for their wider deployment in clinical practice.

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Acknowledgement

The research was funded by Serbian Ministry of Education, Science, and Technological Development, grant [451-03-68/2022-14/200107 (Faculty of Engineering, University of Kragujevac)]. This research is also supported by the project that has received funding from the European Union’s Horizon 2020 research and innovation programmes under grant agreement No 952603 (SGABU project). This article reflects only the author's view. The Commission is not responsible for any use that may be made of the information it contains. T. Geroski (maiden name Sustersic) also acknowledges the support from L'OREAL-UNESCO awards "For Women in Science" in Serbia.

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Authors and Affiliations

  1. Faculty of Engineering, University of Kragujevac, Sestre Janjić 6, 34000, Kragujevac, Serbia

    Anđela Blagojević & Tijana Geroski

  2. Bioengineering Research and Development Center (BioIRC), Prvoslava Stojanovića 6, 34000, Kragujevac, Serbia

    Anđela Blagojević & Tijana Geroski

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  1. Anđela Blagojević
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  2. Tijana Geroski
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Correspondence to Anđela Blagojević .

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Editors and Affiliations

  1. Department of Applied Mechanics and Automatic Control, University of Kragujevac, Kragujevac, Serbia

    Nenad Filipovic

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Blagojević, A., Geroski, T. (2023). A Review of the Application of Artificial Intelligence in Medicine: From Data to Personalised Models. In: Filipovic, N. (eds) Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering. AAI 2022. Lecture Notes in Networks and Systems, vol 659. Springer, Cham. https://doi.org/10.1007/978-3-031-29717-5_17

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