ArticleThe American journal of bioethics : AJOB2022
Algorithms for Ethical Decision-Making in the Clinic: A Proof of Concept.
Article in The American journal of bioethics : AJOB, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
21 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Barriers to dental service utilization in children: a systematic review and meta-analysis.BMC oral health · 2026Pooled it
- Non-empirical methods for ethics research on digital technologies in medicine, health care and public health: a systematic journal review.Medicine, health care, and philosophy · 2024Pooled it
- Should Artificial Intelligence be used to support clinical ethical decision-making? A systematic review of reasons.BMC medical ethics · 2023Pooled it
- Digital bioethics: exploring an emerging field.Medicine, health care, and philosophy · 2026Article
- Artificial intelligence and medical futility.BMC medical informatics and decision making · 2026Review
- The Enduring Promise of Personalising Patient Preference Prediction.Neuroethics · 2026Review
- Promoting Responsible Use of AI in African Healthcare: Strengthening Patients' Moral Agency.Asian bioethics review · 2026Article
- Artificial intelligence guidance in ethically challenging clinical scenarios in child and adolescent psychiatry: a qualitative study in the context of Turkiye.BMC medical ethics · 2025Article
- Ethical Challenges and Opportunities of AI in End-of-Life Palliative Care: Integrative Review.Interactive journal of medical research · 2025Review
- What Is the Role of Explainability in Medical Artificial Intelligence? A Case-Based Approach.Bioengineering (Basel, Switzerland) · 2025Article
- Article
- Exploring ethical considerations in medical research: Harnessing pre-generated transformers for AI-powered ethics discussions.PloS one · 2025Article
- Embedded Ethics in Practice: A Toolbox for Integrating the Analysis of Ethical and Social Issues into Healthcare AI Research.Science and engineering ethics · 2024Article
- Nurses' perspectives on privacy and ethical concerns regarding artificial intelligence adoption in healthcare.Heliyon · 2024Article
- Artificial Intelligence to support ethical decision-making for incapacitated patients: a survey among German anesthesiologists and internists.BMC medical ethics · 2024Article
- Fuzzy Cognitive Map Applications in Medicine over the Last Two Decades: A Review Study.Bioengineering (Basel, Switzerland) · 2024Review
- AI and the need for justification (to the patient).Ethics and information technology · 2024Article
- Should AI allocate livers for transplant? Public attitudes and ethical considerations.BMC medical ethics · 2023Article
- [ChatGPT: aid to medical ethics decision making?]Innere Medizin (Heidelberg, Germany) · 2023Review
- Psychometrics assessment of ethical decision-making around end-of-life care scale for adolescents in the final stage of life.Frontiers in pediatrics · 2023Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Machine intelligence already helps medical staff with a number of tasks. Ethical decision-making, however, has not been handed over to computers. In this proof-of-concept study, we show how an algorithm based on Beauchamp and Childress' prima-facie principles could be employed to advise on a range of moral dilemma situations that occur in medical institutions. We explain why we chose fuzzy cognitive maps to set up the advisory system and how we utilized machine learning to train it. We report on the difficult task of operationalizing the principles of beneficence, non-maleficence and patient autonomy, and describe how we selected suitable input parameters that we extracted from a training dataset of clinical cases. The first performance results are promising, but an algorithmic approach to ethics also comes with several weaknesses and limitations. Should one really entrust the sensitive domain of clinical ethics to machine intelligence?
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35293841What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.