cirpublications.com-WvC7-1790878255-j597477861 1790878255 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 2024 3 1 Laura Meier Thomas Braun Stefan Koch Daniel Fischer 2024 10.68159/j597477861 https://cirpublications.com/pub/journal/1/article/j597477861 Kehl KL, Schrag D, Moy B, Hassett MJ, Mandl KD, Van Allen EM, et al. Shareable artificial intelligence to extract cancer outcomes from electronic health records for precision oncology research. Nat Commun. 2024;15(1):54071. 10.1038/s41467-024-54071-x Wiggins WF, Tejani AS. AI in clinical radiology: addressing core medical imaging diagnosis challenges. Radiol Artif Intell. 2021;3(6):e210152. 10.1148/ryai.2021210152 Yang Y, Wang L, Zhang Z. Application of explainable artificial intelligence integrating with electronic health record in oncology. Explor Target Antitumor Ther. 2023;4(2):357-72. 10.37349/etat.2023.00035 Navarro-Garcia D, García-Pérez L, Fernández-Ortega P, Sanz-David S, Belda-Moliner E. Real-world radiology data for artificial intelligence-driven cancer support systems and biomarker development. Intell Based Med. 2023;8:100098. 10.1016/j.ibmed.2023.100098 Liu B, Chen H, Wang Y. AI and big data in oncology: a physician-centered perspective on emerging clinical and research applications. Oncol Ther. 2023;11(1):1-15. 10.1007/s40487-022-00215-3 Rajendran A, Kumar S, Singh R. AI-enhanced predictive imaging in precision medicine: advancing diagnostic accuracy and personalized treatment. Intell Robot Appl. 2023;16(1):70027. 10.1002/ird3.70027 Vela V, Santos M, Oliveira J. Toward artificial intelligence in oncology and cardiology: a narrative review of systems, challenges, and opportunities. J Clin Med. 2023;12(21):7555. 10.3390/jcm12217555 Liu F, Vullierme MP, Yu E. A foundational architecture for AI agents in healthcare. Cell Rep Med. 2023;4(10):101374. 10.1016/j.xcrm.2023.101374 Li J, Chen X, Huang Q. The impact of AI on modern oncology from early detection to personalized cancer treatment. NPJ Precis Oncol. 2023;7(1):12766. 10.1038/s41698-023-01276-6 Kapoor R, Kapoor A, Kapoor V. Infrastructure tools to support an effective radiation oncology learning health system. J Appl Clin Med Phys. 2023;24(10):e14127. 10.1002/acm2.14127 Aghakhanyan G, Mannino M, Faggiano A. NAVIGATOR: a regional multimodal imaging biobank initiative powered by AI tools for precision medicine in oncology. Eur J Radiol. 2023;167:111439. 10.1016/j.ejrad.2023.111439 Ivanovic M, Budimac Z, Radovanovic S, Kurbalija V, Bonic I, Dai K, et al. Quality medical data management within an open AI architecture – cancer patients case. New Rev Hypermedia Multimed. 2023;29(3-4):1-22. 10.1080/09540091.2023.2194581 Pallumeera M, Smith A, Johnson B. Evolving and novel applications of artificial intelligence in cancer imaging. Cancers (Basel). 2023;15(15):70983. 10.3390/cancers151570983 Houssein EH, Mohamed RE, Ali AA. Explainable artificial intelligence for medical imaging systems using deep learning: a comprehensive review. Clust Comput. 2023;28(1):52815. 10.1007/s10586-025-05281-5 Dellamonica D, Chen RJ, Chen F. The AI revolution: how multimodal intelligence will reshape the oncology ecosystem. NPJ Digit Med. 2023;6(1):000444. 10.1038/s44387-025-00044-4 Messiou C, de Cazenove L, Kinloch M. Multimodal analysis and the oncology patient: creating a hospital system for integrated diagnostics and discovery. Front Oncol. 2023;13:10520501. 10.3389/fonc.2023.10520501 Boehm KM, Khosravi P, Vanguri R. Harnessing multimodal data integration to advance precision oncology. Nat Rev Cancer. 2022;22(2):114-26. 10.1038/s41568-021-00408-3 Zhang B, Chen H, Wang Y. Multimodal integration strategies for clinical application in oncology. Front Pharmacol. 2023;14:1609079. 10.3389/fphar.2023.1609079 Afghahi A, Purington N, Han SS. A multi-modal EHR-based approach to screen patients for oncology clinical trials. JCO Oncol Pract. 2023;19(10):411. 10.1200/OP.2023.20.10_suppl.411 Krones F, Ploner F, Schmidt S. Review of multimodal machine learning approaches in healthcare. Inf Fusion. 2023;103:104688. 10.1016/j.inffus.2023.104688 Ramwala OA, Dhupia N, Maraboyina UK. ClinValAI: a framework for developing cloud-based infrastructures for external clinical validation of AI in medical imaging. Pac Symp Biocomput. 2023;28:ramwala. 10.1142/9789811286438_0037 Siam MK, Hossain MS, Islam MZ. Multimodal models in healthcare: methods, challenges, and future directions. Information (Basel). 2023;15(11):971. 10.3390/info15110971 Hussein R, Zink A, Ramadan B. Advancing healthcare AI governance: a comprehensive maturity model. medRxiv. 2023:24319785. 10.1101/2023.12.30.24319785 Hassan M, Borycki EM, Kushniruk AW. Artificial intelligence governance framework for healthcare. Healthc Manage Forum. 2023;36(6):91226. 10.1177/08404704241291226 Cobanaj M, Ponti G, Masetti R. Advancing equitable and personalized cancer care: applications and priorities of AI for fairness in patient care workflow. Eur J Surg Oncol. 2023;50(3):108067. 10.1016/j.ejso.2023.108067 Quintana Y. AI in healthcare. J Biomed Inform. 2023;142:104307. 10.1016/j.jbi.2023.104307 Farina E, Nabhen JJ, Dutra da Silva Í. An overview of artificial intelligence in oncology. Future Sci OA. 2022;8(4):FSO-2021-0074. 10.2144/fsoa-2021-0074 Chua IS, Gaziel-Yablowitz M, Korach ZT. Artificial intelligence in oncology: path to implementation. Cancer Med. 2021;10(11):4138-49. 10.1002/cam4.3935 Lipkova J, Chen RJ, Chen B. Artificial intelligence for multimodal data integration in oncology. Cancer Cell. 2022;40(10):1095-110. 10.1016/j.ccell.2022.09.012 Balch JA, Delitto DJ, Tighe PJ. Machine learning–enabled clinical information systems using FHIR data standards: scoping review. JMIR Med Inform. 2023;11:e48297. 10.2196/48297 Rahrooh A, Kann BH, Aneja S. Towards a framework for interoperability and reproducibility of predictive models. J Biomed Inform. 2023;136:104272. 10.1016/j.jbi.2023.104272 Winter JS. AI in healthcare: data governance challenges. J Hosp Manag Health Policy. 2021;5:6448. 10.21037/jhmhp-20-126