Искусственный интеллект в здравоохранении - Коллектив авторов

Ethical Principles for AI in Medicine // Te Royal Australian and New Zealand College of Radiologists. 2019. https://www.ranzcr.com/college/document-library/ethical-principles-for-aiin-medicine (дата обращения: 05.11.2022).

Ethics and governance of artificial intelligence for health: WHO guidance. Geneva: World Health Organization, 2021.

European ethical charter on the use of artificial intelligence in judicial systems and their environment. Strasbourg: Council of Europe, 2018. https://rm.coe.int/ethical-charter-en-forpublication-4-december-2018/16808f699c (дата обращения: 12.02.2022).

Generating evidence for artificial intelligence-based medical devices: A framework for training, validation and evaluation. Geneva: World Health Organization, 2021.

Global strategy to accelerate the elimination of cervical cancer as a public health problem. Geneva: World Health Organization, 2020.

Golden R., Delanois J. E., Sanda P., Bazhenov M. Sleep prevents catastrophic forgetting in spiking neural networks by forming a joint synaptic weight representation // PLoS Comput. Biol. 2022. No. 18 (11). https://doi.org/10.1371/journal.pcbi.1010628

Guidelines on artificial intelligence and data protection. Strasbourg: Council of Europe, 2019. https://rm.coe.int/guidelines-on-artificial-intelligence-and-data-protection/168091f9d8 (дата обращения: 12.02.2022).

Gulshan V., Peng L., Coram M., Stumpe M. C., Wu D., Narayanaswamy A., Venugopalan S., Widner К., Madames Т. Cuadros J., Kim R., Raman R., Nelson F. K., Mega J. L., Webster D. R. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs // JAMA. 2016. December 13. No. 316 (22). P. 2402–2410.

Hallevy G. When Robots Kill: Artifcial Intelligence Under Criminal Law. Boston: Northeastern University Press, 2013.

Hellwig F. Change in Copyright Law as a Market Intervention to Realize the Welfare Potential of Text Mining in Scientifc Research // SSRN Electronic Journal. 2013. https://doi.org/10.2139/ssrn.2386238

International Bioethics Committee. Report of the IBC on big data and health. Paris: United Nations Educational, Cultural and Scientifc Organization. 2017. http://unescoblob.blob.core.windows.net/pdf/UploadCKEditor/REPORT%20OF%20THE%20IBC%20ON%20BIG%20DATA%20AND%20HEALTH%20%2015.09.17.pdf (дата обращения: 15.10.2022).

Kalakota R., Davenport T. Te potential for artificial intelligence in healthcare // Future Healthcare Journal. 2019. Vol. 6, no. 2. P. 94–98.

Kaul V., Enslin S., Gross S. A. History of artificial intelligence in medicine // Gastrointestinal Endoscopy. 2020. Vol. 92, issue 4. P. 807–812.

Liu X., Faes L., Kale A. U., Wagner S. K, Fu D. J., Bruynseels A., Mahendiran T., Moraes G., Shamdas M., Kern Ch., Ledsam J. R., Schmid M. K., Balaskas K., Topol E. J., Bachmann L. M., Keane P. A., Denniston A. K. A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: A systematic review and meta-analysis // Lancet Digital Health. 2019. No. 1 (6). Р. 271–297.

Lizotte D. J., Laber E. B. Multi-objective Markov decision processes for data-driven decision support // Journal of Machine Learning Research. 2016. No. 17. https://jmlr.org/papers/volume17/15-252/15-252. pdf (дата обращения: 26.11.2022).

Machine Learning-enabled Medical Devices – A subset of Artifcial Intelligence-enabled Medical Devices: Key Terms and Definitions / IMDRF AIMD Working Group. 16 September 2021. https://www.imdrf.org/sites/default/files/2021-10/Machine%20Learning-enabled%20Medical%20Devices%20—%20A%20subset%20of%20Artifcial%20Intelligence-enabled%20Medical%20Devices%20-%20Key%20Terms%20and%20Defnitions. pdf (дата обращения: 26.10.2022).

Mao Q., Jay M., Hofman J. L., Calvert J. Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU. 2018. February 26. https://www.researchgate.net/publica-tion/322740246_Multicentre_validation_of_a_sepsis_prediction_algorithm_using_only_vital_sign_data_in_the_emergency_department_general_ward_and_ICU (дата обращения: 26.10.2022).

McNair D., Price W. N. Health care AI: Law, regulation, and policy // M. Mathe-ny, S. Tadaney Israni, M. Ahmed, D. Whicher (eds). Artifcial intelligence in health care: Te hope, the hype, the promise, the peril. Washington: National Academy of Medicine, 2019. P. 135–233.

Metcalf J., Moss E., Boyd D. Owning ethics: Corporate logics, Silicon Valley, and the institutionalisation of ethics // Social Research. 2019. No. 82 (2). P. 449–476.

Meyer A., Zverinski D., Pfahringer B. Kempfert J., Kuehne T., Sundermann S. H., Stamm C., Hofmann T., Falk V., Eickhof C. Machine learning for real-time prediction of complications in critical care: A retrospective study // Te Lancet. Respiratory Medicine. 2018. No. 6 (12). P. 905–914.

Ortiz Freuler J., Iglesias C. Algorithms and artificial intelligence in Latin America: A study of implementation by governments in Argentina and Uruguay. Washington: World Wide Web Foundation, 2018. http://webfoundation.org/docs/2018/09/WF_AI-in-LA_Report_Screen_AW.pdf (дата обращения: 12.02.2022).

Pasquale F. Te black box society: Te secret algorithms that control money and Information. Camridge: Harvard University Press, 2015.

Peña P., Varon J. Decolonising AI: A transfeminist approach to data and social justice // Artifcial intelligence: Human rights, social justice and development. Global Information Society Watch. Association for Progressive Communications. 2019. https://giswatch.org/sites/default/fles/gisw2019_web_th4.pdf (дата обращения: 12.02.2022).

Phoulady H. A., Chaudhury B., Goldgof D., Hall L. O., Mouton P. R., Hakam A., Si-gel A. M. Experiments with Large Ensembles for Segmentation and Classifca-tion of Cervical Cancer Biopsy Images // 2014 IEEE International Conference on Systems, Man and Cybernetics – SMC. 2014. P. 870–875. https://www.researchgate.net/publication/265684608_Experiments_with_Large_Ensembles_for_Segmentation_and_Classification_of_Cervical_Cancer_Biopsy_Images (дата обращения: 01.03.2022).

Polydor S., Czapska M., Roberts K. Chinese Dreamwriter Decision: a Dream Come True for AI-generated Works? https://www.connectontech.com/2020/04/20/chinese-dreamwriter-decision-a-dream-come-true-for-ai-generated-works (дата обращения: 10.11.2022).

Preliminary study on the technical and legal aspects relating to the desirability of a standard-setting instrument on the ethics of artificial intelligence. Paris: United Nations Educational, Cultural and Scientifc Organization, 2019. https://unesdoc.unesco.org/ark:/48223/pf0000367422 (дата обращения: 22.11.2022).

Qin Z. Z., Ahmed S., Sarker M. S., Paul K., Adel A. S. S., Naheyan T., Banu S., Creswell J. Can Artifcial Intelligence (AI) Be Used to Accurately Detect Tuberculosis (TB) from Chest X-Rays? An Evaluation of Five AI Products for TB Triaging in a High TB Burden Setting. Rochester, New York: Social Science Research Network, 2020. https://papers.ssrn.com/abstract=3702975 (дата обращения: 01.03.2022).

Salim M., Wåhlin E., Dembrower K., Azavedo E., Foukakis T., Liu Y, Smith K., Eklund M., Strand F. External Evaluation of 3 Commercial Artifcial Intelligence Algorithms for Independent Assessment of Screening Mammograms // JAMA Oncol. 2020. October 1. No. 6 (10). P. 1581–1588.

Searle J. Minds, brains, and programs // Behavioral and Brain Sciences. 1980. No. 3 (3). P. 417–424.

Sendak M. P., Gao M., Brajer N., Balu S. Presenting machine learning model information to clinical end users with model facts labels // npj Digital Medicine. 2020. March 23. No. 3 (1). P. 1–4.

Shachar C., Gerke S., Minssen T. Is data sharing caring enough about patient privacy? Part I. Te background. Cambridge: Bill of Health, Harvard Law, Petrie Flom Center, 2019. https://blog.petriefom.law.harvard.edu/2019/07/29/privacy-data-sharing-regulation/ (дата обращения: 12.02.2022).

Sobre la predicción automática de embarazos adolescents. Buenos Aires: Universidad de Buenos Aires, Laboratorio de Inteligencia Artifcial Aplicada. 2018. https://www.dropbox.com/s/r7w4hln3p5xum3v/%5BLIAA%5D%20Sobre%20la%20predicci%C3%B3n%20autom%C3%A1tica%20de%20embarazos%20adolescentes.pdf (дата обращения: 17.09.2022).

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