Artificial Intelligence for Sustainability Development in Healthcare
Abstract
Purpose - Digital technology is frequently employed in the healthcare sector to innovate and add value. This study examines AI-based technology implementation in the healthcare industry. The purpose of the study is to provide a review of publications on artificial intelligence (AI) and how it has enabled the healthcare sector to progress toward sustainable development goals (SDG).
Methodology - The method is based on a systematic mapping review of 40 papers. It also contained relevant publications to this paper’s research questions for comparison.
Findings - The paper emphasizes the significance of AI implementation in healthcare and further facilities’ implementation of SDG and health-related SDG and its evolving contribution to humanity for affordable global healthcare.
Implications/limitation - The scope of this paper is limited to the time during submission of this paper and keywords specified in this paper’s research question.
Originality/value - The paper will expand knowledge of AI to achieve sustainable development goals and health-related SDGs and further highlight research gaps to be addressed for healthcare improvement.
Description
This open access book presents contributions on a wide range of scientific areas originating from the BUiD Doctoral Research Conference (BDRC 2023)
Keywords
artificial intelligence, sustainable development, healthcare system
Citation
Sajwani, R.A. (2024). Artificial Intelligence for Sustainability Development in Healthcare. In: Al Marri, K., Mir, F.A., David, S.A., Al-Emran, M. (eds) BUiD Doctoral Research Conference 2023. Lecture Notes in Civil Engineering, vol 473. Springer, Cham. https://doi.org/10.1007/978-3-031-56121-4_26