cirpublications.com-uA4N-1790899043-g109455172 1790899043 Clinical Intelligence Research Press info@cirpublications.com Clinical Intelligence Research Press Journal of Health Informatics and Digital Systems J. Health Inform. Digit. Syst. 3149-8973 2024 4 2 Ivan Petrov Olga Ivanova Dmitry Smirnov 2024 10.68159/g109455172 https://cirpublications.com/pub/journal/2/article/g109455172 Lekadir K, Osuala R, Gallin C, Lazrak N, Kushibar K, Tsakou G, et al. FUTURE-AI: Guiding principles and consensus recommendations for trustworthy artificial intelligence in medical imaging. arXiv. 2021;:arXiv:2109.09658. 10.48550/arXiv.2109.09658 Abbasi N, Mull N, Babinski K, Mutasa S, Chang P, Chu SK, et al. Development and external validation of an artificial intelligence model for identifying radiology reports containing recommendations for additional imaging. AJR Am J Roentgenol. 2023;221(2):172-81. 10.2214/AJR.22.28915 Casey A, Davidson E, Poon M, Dong H, Duma D, Uzuner Ö, et al. A systematic review of natural language processing applied to radiology reports. BMC Med Inform Decis Mak. 2021;21(1):179. 10.1186/s12911-021-01533-7 Adams LC, Truhn D, Busch F, Kuhl CK, Aerts HJWL, Veldhaus WB, et al. Leveraging GPT-4 for post-hoc transformation of free-text radiology reports into structured reporting: a multilingual feasibility study. Radiology. 2023;307(1):e230725. 10.1148/radiol.230725 van Leeuwen KG, de Rooij M, Schalekamp S, van Ginneken B, Rutten MJCM. How does artificial intelligence in radiology improve efficiency and health outcomes? Pediatr Radiol. 2022;52(11):2087-93. 10.1007/s00247-021-05193-1 Rajpurkar P, Irvin J, Ball RL, Zhu K, Yang B, Mehta H, et al. Deep learning for chest radiograph diagnosis: a retrospective comparison of the CheXNeXt algorithm to practicing radiologists. PLoS Med. 2018;15(11):e1002686. 10.1371/journal.pmed.1002686 Pinto Dos Santos D, Baeßler B. Big data, artificial intelligence, and structured reporting. Eur Radiol Exp. 2018;2(1):5. 10.1186/s41747-018-0039-1 Hosny A, Parmar C, Quackenbush J, Schwartz LH, Aerts HJWL. Artificial intelligence in radiology. Nat Rev Cancer. 2018;18(8):500-10. 10.1038/s41568-018-0016-5 Hardy M, Harvey H. Artificial intelligence in diagnostic imaging: impact on the radiography profession. Br J Radiol. 2020;93(1108):20190840. 10.1259/bjr.20190840 Hill DLG, Fielden SW, Blick C, Florio V, Kyriakidou C, Omigie G, et al. AI in imaging: the regulatory landscape. Br J Radiol. 2024;97(1155):483-9. 10.1259/bjr.20230643 Zhang K, Khosravi B, Vahdati S, Mojiri A. FDA review of radiologic AI algorithms: process and challenges. Radiology. 2024;310(1):e230242. 10.1148/radiol.230242 Schwabe D, Hassler U, Nonnemacher M, Rothgang E, Rost B. The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review. npj Digit Med. 2024;7(1):182. 10.1038/s41746-024-01196-4 Ross J, Hickling S, Crowdus M. Beyond regulatory compliance: evaluating radiology artificial intelligence applications in deployment. Clin Radiol. 2024;79(4):e523-e529. 10.1016/j.crad.2024.01.013 Theriault-Lauzier P, Samuel R, Rivard L, Bourdeau I, Bedard S, Sheth T, et al. A responsible framework for applying artificial intelligence on medical images and signals at the point of care: the PACS-AI platform. Can J Cardiol. 2024;40(10):1714-29. 10.1016/j.cjca.2024.04.027 Onitiu D, Berthon B, Rance B, Garrett J, Cannie M, Mahieu-Caputo D, et al. How AI challenges the medical device regulation: patient safety, benefits, and intended uses. J Law Biosci. 2024;11(1):lsae007. Matthews GA, Amodei N, Campbell B, DeGrado TR, Graham MM, Herold CJ, et al. Public evidence on AI products for digital pathology. npj Digit Med. 2024;7(1):225. 10.1038/s41746-024-01294-3 Teng Z, Sun Y, Song W, Li D, Wang J, Yu L, et al. A literature review of artificial intelligence for medical image segmentation: from AI and explainable AI to trustworthy AI. Quant Imaging Med Surg. 2024;14(1):1017-39. 10.21037/qims-23-1123 Brady AP, Bello JA, Derchi LE, Fuchsjäger M, Goergen S, Krestin GP, et al. Developing, purchasing, implementing and monitoring AI tools in radiology: practical considerations. J Am Coll Radiol. 2024;21(5):719-28. 10.1016/j.jacr.2023.12.007 Vasilev Y, Blake J, Bird J, Burgess M, Hall I, Bianco R, et al. AI-based CXR first reading: current limitations to ensure practical value. Diagnostics (Basel). 2023;13(8):1430. 10.3390/diagnostics13081430 Ziller A, Usynin D, Braren R, Makowski M, Rueckert D, Kaissis G. Reconciling privacy and accuracy in AI for medical imaging. Nat Mach Intell. 2024;6(7):764-74. 10.1038/s42256-024-00858-y Samala RK, Chan HP, Hadjiiski L, Konowalchuk N. AI and machine learning in medical imaging: key points from development to translation. Br J Radiol AI. 2024;1(1):ubae006. Gupta V, Demirer M, Bigelow M, Little KJ, Candemir S, Prevedello LM, et al. Current state of community-driven radiological AI deployment in medical imaging. JMIR AI. 2024;3:e55833. 10.2196/55833 Kuo RYL, Harrison C, Jones B, Ma R, Nicol D, Markiewicz O, et al. Stakeholder perspectives towards diagnostic artificial intelligence: a co-produced qualitative evidence synthesis. EClinicalMedicine. 2024;71:102590. 10.1016/j.eclinm.2024.102590 Kim DY, Yoo JM, Cho JH, Kim KB. Reporting quality of research studies on AI applications in medical images according to the CLAIM guidelines. Korean J Radiol. 2023;24(12):1179-87. 10.3348/kjr.2023.0626 Nakaura T, Yoshida N, Yamada T, Utsunomiya D, Kidoh M, Shiraishi K, et al. Preliminary assessment of automated radiology report generation with generative pre-trained transformers. Jpn J Radiol. 2024;42(2):190-200. 10.1007/s11604-023-01505-9 Voinea SV, Stan A, Cazacu E, Șerbănescu MS, Șerbănescu A, Dascălu AM, et al. GPT-driven radiology report generation with fine-tuned Llama 3. Bioengineering (Basel). 2024;11(10):1043. 10.3390/bioengineering11101043 Wenderott K, Herfort J, Raspe M, Schwietering J, Busch HP, Reim M. Radiologists’ perspectives on workflow integration of AI-based detection systems: a qualitative study. Appl Ergon. 2024;114:104140. 10.1016/j.apergo.2023.104140 Kaviani P, Digumarthy SR, Bizzo BC, Dreyer KJ, Ebrahimian S. Artificial intelligence-generated smart impression from radiology reports. medRxiv. 2024;:2024.03.07.24303787. 10.1101/2024.03.07.24303787