Sajwani, Rehab Anwar2024-04-052024-04-052024Sajwani, 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_26Print: 978-3031561207 Online: 978-3031561214https://bspace.buid.ac.ae/handle/1234/2566https://link.springer.com/chapter/10.1007/978-3-031-56121-4_26This open access book presents contributions on a wide range of scientific areas originating from the BUiD Doctoral Research Conference (BDRC 2023)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.enartificial intelligence, sustainable development, healthcare systemConference paper