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15 Contemp. Readings L. & Soc. Just. 9 (2023)

handle is hein.journals/conreadlsj15 and id is 1 raw text is: Contemporary Readings in Law and Social Justice 15(1), 2023 pp. 9-26, ISSN 1948-9137, eISSN 2162-2752 Generative Artificial Intelligence-based Diagnostic Algorithms in Disease Risk Detection, in Personalized and Targeted Healthcare Procedures, and in Patient Care Safety and Quality Martin Bugaj1, Tomas Kliestikl, and George Lizaroiu2 ABSTRACT. The aim of this systematic review is to synthesize and analyze gener- ative artificial intelligence algorithms articulating specific treatment recommendations, clinical decision-making, correct diagnoses, patient outcomes, medical practices, and healthcare equity. In this research, prior findings were cumulated indicating that generative artificial intelligence tools automatically identify and segment various structures in medical images and enhance diagnostic accuracy and surgical planning. We carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout April 2023, with search terms including generative artificial intelligence-based diagnostic algorithms + disease risk detection, personalized and targeted healthcare procedures, and patient care safety and quality. As we analyzed research published in 2023, only 186 papers met the eligibility criteria. By removing controversial or unclear findings (scanty/unimportant data), results unsupported by replication, undetailed content, or papers having quite similar titles, we decided on 32, chiefly empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Distiller SR, ROBIS, and SRDR. Keywords: ChatGPT; generative artificial intelligence; diagnostic algorithms; disease risk detection; personalized and targeted healthcare procedures; patient care safety and quality How to cite: Bugaj, M., Kliestik, T., and Lazaroiu, G. (2023). Generative Artificial Intel- ligence-based Diagnostic Algorithms in Disease Risk Detection, in Personalized and Targeted Healthcare Procedures, and in Patient Care Safety and Quality, Contemporary Readings in Law and Social Justice 15(1): 9-26. doi: 10.22381/CRLSJ15120231. Received 22 April 2023 - Received in revised form 26 July 2023 Accepted 29 July 2023 - Available online 30 July 2023 'Faculty of Operation and Economics of Transport and Communications, Department of Air Transport, University of Zilina, Slovak Republic, martin.buga @fpedas.uniza.sk. 'Faculty of Operation and Economics of Transport and Communications, Department of Economics, University of Zilina, Zilina, Slovak Republic, tomas.kliestik@fpedas.uniza.sk. 2The Institute of Smart Big Data Analytics, New York, NY, USA; Spiru Haret University, Bucharest, Romania, phd_lazaroiu@yahoo.com. (corresponding author) 9

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