References
- ABEJAS, A. G., SANTOS, D. G., LEITE COSTA, F., CORDERO BOTEJARA, A., MOTA-FILIPE, H. & SALVADOR VERGÉS, À. (2025): Ethical Challenges and Opportunities of AI in End-of-Life Palliative Care: Integrative Review. In: Interactive Journal of Medical Research. [online] [Retrieved May 14, 2025]. Available at:
https://pubmed.ncbi.nlm.nih.gov/40302210/ - ANDRONE, M. (2017): Some Considerations on Peter Singer’s Practical Ethics. In: LUMEN Proceedings, 1, pp. 34–43.
- BRAJER, N., COZZI, B., GAO, M., NICHOLS, M., REVOIR, M., BALU, S., FUTOMA, J., BAE, J., SETJI, N., HERNANDEZ, A. & SENDAK, M. (2020): Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality of Adults at Time of Admission. In: JAMA Network Open, 3(2). [online] [Retrieved February 5, 2020]. Available at:
https://pubmed.ncbi.nml.nih.gov/32031645/ - BUCKLE, S. (2005): Peter Singer’s Argument for Utilitarianism. In: Theoretical Medicine and Bioethics, 26(3), pp. 175–194.
- DAVENPORT, T. & KALAKOTA, R. (2019): The potential for artificial intelligence in healthcare. In: Future Healthcare Journal, 6(2), pp. 94–98.
- DAVIS, S. E., LASKO, T. A., CHEN, G., SIEW, E. D. & MATHENY, M. E. (2017): Calibration drift in regression and machine learning models for acute kidney injury. In: J. Am. Med. Inform. Assoc, 24(6), pp.1052–1061.
- FERLITO, B., SEGERS, S., DE PROOST, M. & MERTES, H. (2024): Responsibility Gap(s) Due to the Introduction of AI in Healthcare: An Ubuntu-Inspired Approach. In: Science and Engineering Ethics, 30(34). [online] [Retrieved August 1, 2024]. Available at:
https://doi.org/10.1007/s11948-024-00501-4 - FLORIDI, L. & COWLS, J. (2019): A Unified Framework of Five Principles for AI in Society. In: Harvard Data Science Review, 1(1). [online] [Retrieved July 1, 2019]. Available at:
https://hdsr.mitpress.mit.edu/pub/l0jsh9d1/release/8 - FOGEL, A. L. & KVEDAR, J. C. (2018): Artificial intelligence powers digital medicine. In: NPJ Digit. Med., 1(5). [online] [Retrieved March 14, 2018]. Available at:
https://www.nature.com/articles/s41746-017-0012-2 - GAJRA, A., ZETTLER, M. E., MILLER, K. A., FROWNFELTER, J. G., SHOWALTER, J., VALLEY, A. W., SHARMA, S., SRIDHARAN, S., KISH, J. K. & BLAU, S. (2021): Impact of Augmented Intelligence on Utilization of Palliative Care Services in a Real-World Oncology Setting. In: JCO Oncol. Pract., 19(1), pp. 80–88.
- JOTTERAND, F. & BOSCO, C. (2020): Keeping the “Human in the Loop” in the Age of Artificial Intelligence. In: Science and Engineering Ethics, 26(5), pp. 2455–2460.
- MANZ, C. R., CHEN, J., LIU, M., CHIVERS, C., REGLI, S. H., BRAUN, J., DRAUGELIS, M., HANSON, C. W., SHULMAN, L. N., SCHUCHTER, L. M., O’CONNOR, N., BEKELMAN, J. E., PATEL, M. S. & PARIKH, R. B. (2020): Validation of a Machine Learning Algorithm to Predict 180-Day Mortality for Outpatients with Cancer. In: JAMA Oncology, 6(11), pp. 1723–1730.
- MITTELSTADT, B., ALLO, P., TADDEO, M., WATCHER, S. & FLORIDI, L. (2017): The Ethics of Algorithms: Mapping the Debate. In: Big Data & Society, 3(2). [online] [Retrieved November 1, 2016]. Available at:
https://ssrn.com/abstract=2909885 - NIKOLOUDI, M. & MYSTAKIDOU, K. (2025): Artificial Intelligence in Palliative Care: A Scoping Review of Current Applications, Challenges and Future Directions. In: American Journal of Hospice and Palliative Medicine (Online ahead of print), [online] [Retrieved July 1, 2025]. Available at:
https://pubmmed.ncbi.nlm.nih.gov/40598879/ - NORORI, N., HU, Q., AELLEN, F. M., FARACI, F. D. & TZOVARA, A. (2021): Addressing bias in big data and AI for health care: A call for open science. In: Patterns, 2(10). [online] [Retrieved October 8, 2021]. Available at:
https://pubmed.ncbi.nlm.nih.gov/34693373/ - OBERMEYER, Z., POWERS, B., VOGELI, C. & MULLAINATHAN, S. (2019): Dissecting racial bias in an algorithm used to manage the health of populations. In: Science, 336(6464), pp. 447–453.
- O’NEIL, C. (2016): Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. New York: Crown Publishing.
- PAUER-STUDER, H. (1993): Peter Singer on Euthanasia. In: The Monist, 76(2), pp. 135–157.
- RAJKOMAR, A., OREN, E., CHEN, K., DAI, A. M., HAJAJ, N., HARDT, M., LIU, P. J., LIU, X., MARCUS, J., SUN, M., SUNDBERG, P., YEE, H., ZHANG, K., ZHANG, Y., FLORES, G., DUGGAN, G. E., IRVINE, J., LE, Q., LITSCH, K., MOSSIN, A., TANSUWAN, J., WANG, D., WEXLER, J., WILSON, J., LUDWIG, D., VOLCHENBOUM, S. L., CHOU, K., PEARSON, M., MADABUSHI, S., SHAH, N. H., BUTTE, A. J., HOWELL, M. D., CUI, C., CORRADO, G. S. & DEAN, J. (2018): Scalable and accurate deep learning with electronic health records. In: NPJ Digit. Med., 1(18) [online] [Retrieved May 8, 2018]. Available at:
https://www.nature.com/articles/s41746-018-0029-1 - RAJKOMAR, A., DEAN, J. & KOHANE, I. (2019): Machine Learning in Medicine. In: New England Journal of Medicine, 380(14), pp. 1347–1358.
- SAUERBREI, A., KERASIDOU, A., LUCIVERO, F. & HALLOWELL, N. (2023): The impact of artificial intelligence on the person-centred, doctor-patient relationship: some problems and solutions. In: BMC medical informatics and decision making, 23(1). [online] [Retrieved April 20, 2023]. Available at:
https://pmc.ncbi.nlm.nih.gov/articles/PMC10116477/ - SINGER, P. (1994): Rethinking Life and Death. The Collapse of Our Traditional Ethics (First U.S. Edition). New York: St. Martin’s Press.
- SINGER, P. (2003): Voluntary Euthanasia: A Utilitarian Perspective. In: Bioethics, 17(5–6), pp. 526–541.
- SINGER, P. (2011): Practical Ethics (Third Edition). New York: Cambridge University Press.
- SINGER, P. (2016): Ethics in the Real World. Princeton: Princeton University Press.
- STAFIE, C. S., SUFARU, I.-G., GHICIUC, C. M., STAFIE, I.-I., SUFARU, E.-C., SOLOMON, S. M. & HANCIANU, M. (2023): Exploring the Intersection of Artificial Intelligence and Clinical Healthcare: A Multidisciplinary Review. In: Diagnostics, 13(12), pp. 1–37.
- SYNOWIEC, J. (2019): Metaethical grounds for changing the understanding of values in Peter Singerian ethics (in the context of his reflection on the value of human life). In: Kultura i Wartości, (28), pp. 47–64.
- TOPOL, E. (2019): Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. New York: Basic Books.
- VAN DEN BEUKEN-VAN EVERDINGEN, M. H. J., DE RIJKE, J. M., KESSELS, A. G., SCHOUTEN, H. C., VAN KLEEF, M. & PATIJN, J. (2007): Prevalence of pain in patients with cancer: a systematic review of the past 40 years. In: Ann. Oncol., 18(9), pp. 1437–1449.