Machine learning in medicine: Addressing ethical challenges
Citations
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Cited by:
- Carl B. Roth & Andreas Papassotiropoulos & Annette B. Brühl & Undine E. Lang & Christian G. Huber, 2021. "Psychiatry in the Digital Age: A Blessing or a Curse?," IJERPH, MDPI, vol. 18(16), pages 1-32, August.
- Morley, Jessica & Machado, Caio C.V. & Burr, Christopher & Cowls, Josh & Joshi, Indra & Taddeo, Mariarosaria & Floridi, Luciano, 2020. "The ethics of AI in health care: A mapping review," Social Science & Medicine, Elsevier, vol. 260(C).
- Dessislava Pachamanova & Vera Tilson & Keely Dwyer-Matzky, 2022. "Case Article—Machine Learning, Ethics, and Change Management: A Data-Driven Approach to Improving Hospital Observation Unit Operations," INFORMS Transactions on Education, INFORMS, vol. 22(3), pages 178-187, May.
- Michael Gerlich, 2024. "Brace for Impact: Facing the AI Revolution and Geopolitical Shifts in a Future Societal Scenario for 2025–2040," Societies, MDPI, vol. 14(9), pages 1-17, September.
- Lepore, Dominique & Dolui, Koustabh & Tomashchuk, Oleksandr & Shim, Heereen & Puri, Chetanya & Li, Yuan & Chen, Nuoya & Spigarelli, Francesca, 2023. "Interdisciplinary research unlocking innovative solutions in healthcare," Technovation, Elsevier, vol. 120(C).
- Uthayasankar Sivarajah & Yichuan Wang & Hossein Olya & Sherin Mathew, 2023. "Responsible Artificial Intelligence (AI) for Digital Health and Medical Analytics," Information Systems Frontiers, Springer, vol. 25(6), pages 2117-2122, December.
- repec:bjc:journl:v:12:y:2025:i:67:p:284-294 is not listed on IDEAS
- Ngoc-Huynh Ho & Sokratis Charisis & Nicolas Honnorat & Sachintha Ransara Brandigampala & Di Wang & Susan R. Heckbert & Peter T. Fox & David Martinez & David H. Wang & Timothy M. Hughes & Derek B. Arch, 2026. "Advancing fair and explainable machine learning for neuroimaging dementia pattern classification in multi-racial and multi-ethnic populations," Nature Communications, Nature, vol. 17(1), pages 1-14, December.
- Mashael Alsobhi & Harpreet Singh Sachdev & Mohamed Faisal Chevidikunnan & Reem Basuodan & Dhanesh Kumar K U & Fayaz Khan, 2022. "Facilitators and Barriers of Artificial Intelligence Applications in Rehabilitation: A Mixed-Method Approach," IJERPH, MDPI, vol. 19(23), pages 1-21, November.
- Thomas Molala & Jabulani Makhubele, 2021. "A conceptual framework for the ethical deployment of Artificial Intelligence in addressing mental health challenges: Guidelines for Social Workers," Technium Social Sciences Journal, Technium Science, vol. 24(1), pages 696-706, October.
- Siala, Haytham & Wang, Yichuan, 2022. "SHIFTing artificial intelligence to be responsible in healthcare: A systematic review," Social Science & Medicine, Elsevier, vol. 296(C).
- Elbehairy, Farah & Mora, Luca & Soe, Ralf-Martin, 2025. "Who are you? Examining the multifaceted innovation roles of municipal governments in AI governance," Technovation, Elsevier, vol. 147(C).
- Nareddy Abhireddy, 2022. "Sustainable and Responsible Artificial Intelligence Implementation in Healthcare," International Journal of Scientific Research and Modern Technology, Prasu Publications, vol. 1(12), pages 201-215.
- repec:plo:pone00:0239947 is not listed on IDEAS
- Sribala Vidyadhari Chinta & Zichong Wang & Avash Palikhe & Xingyu Zhang & Ayesha Kashif & Monique Antoinette Smith & Jun Liu & Wenbin Zhang, 2025. "AI-driven healthcare: Fairness in AI healthcare: A survey," PLOS Digital Health, Public Library of Science, vol. 4(5), pages 1-27, May.
- Pradeep Kumar & Yogesh K. Dwivedi & Ambuj Anand, 2023. "Responsible Artificial Intelligence (AI) for Value Formation and Market Performance in Healthcare: the Mediating Role of Patient’s Cognitive Engagement," Information Systems Frontiers, Springer, vol. 25(6), pages 2197-2220, December.
- Kanungo, Rama Prasad & Liu, Rui & Gupta, Suraksha, 2024. "Cognitive analytics enabled responsible artificial intelligence for business model innovation: A multilayer perceptron neural networks estimation," Journal of Business Research, Elsevier, vol. 182(C).
- Esra Zihni & Vince Istvan Madai & Michelle Livne & Ivana Galinovic & Ahmed A Khalil & Jochen B Fiebach & Dietmar Frey, 2020. "Opening the black box of artificial intelligence for clinical decision support: A study predicting stroke outcome," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-15, April.
- Zahlan, Ahmed & Ranjan, Ravi Prakash & Hayes, David, 2023. "Artificial intelligence innovation in healthcare: Literature review, exploratory analysis, and future research," Technology in Society, Elsevier, vol. 74(C).
- Lily Popova Zhuhadar & Miltiadis D. Lytras, 2023. "The Application of AutoML Techniques in Diabetes Diagnosis: Current Approaches, Performance, and Future Directions," Sustainability, MDPI, vol. 15(18), pages 1-24, September.
- Stuart McLennan & Andrea Meyer & Korbinian Schreyer & Alena Buyx, 2022. "German medical students´ views regarding artificial intelligence in medicine: A cross-sectional survey," PLOS Digital Health, Public Library of Science, vol. 1(10), pages 1-13, October.
- Samuel Fosso Wamba & Maciel M. Queiroz, 2023. "Responsible Artificial Intelligence as a Secret Ingredient for Digital Health: Bibliometric Analysis, Insights, and Research Directions," Information Systems Frontiers, Springer, vol. 25(6), pages 2123-2138, December.
- Amit Awashti & Dr. Amrita Verma, 2025. "Predicting Cancer: Leveraging Machine Learning Techniques on Clinical Data Sets," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 12(6), pages 2178-2190, June.
- Mohammad I. Merhi, 2023. "An Assessment of the Barriers Impacting Responsible Artificial Intelligence," Information Systems Frontiers, Springer, vol. 25(3), pages 1147-1160, June.
- Ignat Drozdov & Daniel Forbes & Benjamin Szubert & Mark Hall & Chris Carlin & David J Lowe, 2020. "Supervised and unsupervised language modelling in Chest X-Ray radiological reports," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-16, March.
- Delahunty, Fionn & Arcan, Mihael & Johansson, Robert, 2019. "Passive Diagnosis of Mental Health Disorders Incorporating an Empathic Dialogue System," Thesis Commons 98c3q, Center for Open Science.
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