cirpublications.com-ku6F-1790877873-h474875204 1790877873 Clinical Intelligence Research Press info@cirpublications.com Clinical Intelligence Research Press Journal of Artificial Intelligence for Healthcare Systems J. Artif. Intell. Healthc. Syst. 3149-8981 2022 1 2 Maria Hernandez Carlos Vega 2022 10.68159/h474875204 https://cirpublications.com/pub/journal/1/article/h474875204 Alowais SA, Alghamdi SS, Alsuhebany N, Alsaif AA, Alqahtani T, Alshaya AI, et al. Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC Med Educ. 2023;23(1):689. 10.1186/s12909-023-04692-2 Karalis VD. The integration of artificial intelligence into clinical practice. Appl Biosci. 2024;3(1):14-44. 10.3390/applbiosci3010002 Ponsiglione AM, Zaffino P, Ricciardi C, Bongo AS, Saviano M, Ferulano GP, et al. Combining simulation models and machine learning in healthcare management: strategies and applications. Prog Biomed Eng (Bristol). 2024;6(1). Shamir SB, Sasson AL, Margolies LR, Babb JS, Lee SI. New frontiers in breast cancer imaging: the rise of AI. Bioengineering (Basel). 2024;11(5):451. 10.3390/bioengineering11050451 Zhao D, Wang W, Tang T, Li Y, Zhang L, Wang Y, et al. Current progress in artificial intelligence-assisted medical image analysis for chronic kidney disease: a literature review. Comput Struct Biotechnol J. 2023;21:3315-26. 10.1016/j.csbj.2023.06.005 Ren F, Aliper A, Chen J, Mamoshina P, Putin E, Skibina I, et al. A small-molecule TNIK inhibitor targets fibrosis in preclinical and clinical models. Nat Biotechnol. 2025;43(1):63-75. 10.1038/s41587-024-02358-9 Zhu C, Attaluri PK, Wirth PJ, Janis JE. Current applications of artificial intelligence in billing practices and clinical plastic surgery. Plast Reconstr Surg Glob Open. 2024;12(5):e5939. 10.1097/GOX.0000000000005939 Bhagat SV, Kanyal D. Navigating the future: the transformative impact of artificial intelligence on hospital management: a comprehensive review. Cureus. 2024;16(5):e54518. 10.7759/cureus.54518 Ahmadi A. Artificial intelligence revolution: a comprehensive review of its transformative impact on hospital data management in the future. Int J BioLife Sci. 2024;3(2):115-33. Mennella C, Maniscalco U, De Pietro G, Gallo L, Bracale UM. Ethical and regulatory challenges of AI technologies in healthcare: a narrative review. Heliyon. 2024;10(10):e26297. 10.1016/j.heliyon.2024.e26297 Chen RJ, Wang JJ, Williamson DFK, Chen Y, Chen T, Chen H, et al. Algorithmic fairness in artificial intelligence for medicine and healthcare. Nat Biomed Eng. 2023;7(6):719-42. 10.1038/s41551-023-01048-1 Goralski MA, Tan TK. Artificial intelligence: poverty alleviation, healthcare, education, and reduced inequalities in a post-COVID world. In: Mazzi F, Floridi L, editors. Ethics of Artificial Intelligence for the Sustainable Development Goals. Cham: Springer; 2023. pp. 97-113. 10.1007/978-3-031-28149-5_6 Zhao AP, Li S, Cao Z, Zhang H, Wang Y, Li Y, et al. AI for science: predicting infectious diseases. J Saf Sci Resil. 2024;5(2):130-46. 10.1016/j.jssr.2024.06.002 Li C, Ye G, Jiang Y, Zhang Y, Li Y, Wang Y, et al. Artificial intelligence in battling infectious diseases: a transformative role. J Med Virol. 2024;96(6):e29355. 10.1002/jmv.29355 Langford BJ, Branch-Elliman W, Nori P, Wright SB, Bonomo RA, Bush HM, et al. Confronting the disruption of the infectious diseases workforce by artificial intelligence. Open Forum Infect Dis. 2024;11(6):ofae053. Siddique MM, Seraj MMB, Adnan MN, Chowdhury MEH, Kiranyaz S. Artificial intelligence for infectious disease detection: prospects and challenges. In: Chowdhury MEH, Kiranyaz S, editors. Surveillance, Prevention, and Control of Infectious Diseases. Cham: Springer; 2024. pp. 1-22. 10.1007/978-3-031-48526-2_1 Younis HA, Eisa TAE, Nasser M, et al. A systematic review and meta-analysis of artificial intelligence tools in medicine and healthcare. Diagnostics (Basel). 2024;14(1):109. 10.3390/diagnostics14010109 Romagnoli A, Ferrara F, Langella R, Zovi A. Healthcare systems and artificial intelligence: focus on challenges and the international regulatory framework. Pharm Res. 2024;41(4):721-30. 10.1007/s11095-024-03685-3 Singh RP, Hom GL, Abramoff MD, Campbell JP, Chiang MF, AAO Task Force on Artificial Intelligence. Current challenges and barriers to real-world artificial intelligence adoption. Transl Vis Sci Technol. 2020;9(2):45. 10.1167/tvst.9.2.45 Guan J. Artificial intelligence in healthcare and medicine: promises, ethical challenges and governance. Chin Med Sci J. 2019;34(2):76-83. 10.24920/003611 Delgado C, Baweja M, Crews DC, et al. A unifying approach for GFR estimation. Am J Kidney Dis. 2022;79(2):268-88. 10.1053/j.ajkd.2021.08.003 Gerke S, Minssen T, Cohen G. Ethical and legal challenges of artificial intelligence-driven healthcare. In: Artificial Intelligence in Healthcare. 2020:295-336. 10.1016/B978-0-12-818438-7.00012-5 Yu S, Farooq F, van Esbroeck A, Fung G, Anand V, Krishnapuram B. Predicting readmission risk with institution-specific models. Artif Intell Med. 2015;65(2):89-96. 10.1016/j.artmed.2015.08.005 He J, Baxter SL, Xu J, Xu J, Zhou X, Zhang K. The practical implementation of artificial intelligence technologies in medicine. Nat Med. 2019;25(1):30-6. 10.1038/s41591-018-0307-0 Bönisch C, Kesztyüs D, Kesztyüs T. Harvesting metadata in clinical care. Sci Data. 2022;9(1):659. 10.1038/s41597-022-01792-7 Acosta JF, Falcone GJ, Rajpurkar P, Topol EJ. Multimodal biomedical AI. Nat Med. 2022;28(9):1773-84. 10.1038/s41591-022-01981-2 Davis SE, Greevy RA, Lasko TA, Walsh CG, Matheny ME. Detection of calibration drift in clinical prediction models. J Biomed Inform. 2020;112:103611. 10.1016/j.jbi.2020.103611 Sahiner B, Chen W, Samala RK, Petrick N. Data drift in medical machine learning. Br J Radiol. 2023;96(1150):20220878. 10.1259/bjr.20220878 Pesapane F, Codari M, Sardanelli F. Artificial intelligence in medical imaging: threat or opportunity? Eur Radiol Exp. 2018;2(1):35. 10.1186/s41747-018-0061-6 Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25(1):44-56. 10.1038/s41591-018-0300-7 Kamran F, Tjandra D, Heiler A, Virzi J, Singh K, King JE, et al. Evaluation of sepsis prediction models before onset of treatment. NEJM AI. 2024;1(3):AIoa2300032. 10.1056/AIoa2300032