ArticleJournal of medical ethics2023
Ethics of the algorithmic prediction of goal of care preferences: from theory to practice.
Article in Journal of medical ethics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Should Artificial Intelligence be used to support clinical ethical decision-making? A systematic review of reasons.BMC medical ethics · 2023Pooled it
- From Francis to Leo XIV: A Scoping Review of Papal Teachings on AI from Pope Francis to Pope Leo XIV and Their Implications for Health Ethics and Governance.Journal of religion and health · 2026Article
- The Patient Beyond the Dataset: Levinas, Magnifica Humanitas, and the Principle of Non-totalization in AI Healthcare in the Philippines.Journal of religion and health · 2026Article
- Patients' Perspectives on Applications of AI and Personalized Medicine in Life-Threatening Heart Disease: European Cross-Sectional Patient Questionnaire Study.Journal of medical Internet research · 2026Article
- Impact of Artificial Intelligence on the Care of Terminally Ill Patients.Healthcare (Basel, Switzerland) · 2026Review
- From inferring preferences to enabling choice: potentials of digital tools to improve substitute decision-making.Frontiers in digital health · 2026Article
- Application of artificial intelligence to measure and predict patient values and preferences: a scoping review.NPJ digital medicine · 2025Article
- Patient preference predictors revisited: technically feasible, ethically desirable, yet must be clinically relevant.Critical care (London, England) · 2025Review
- Ethical Challenges and Opportunities of AI in End-of-Life Palliative Care: Integrative Review.Interactive journal of medical research · 2025Review
- Should Artificial Intelligence-Based Patient Preference Predictors Be Used for Incapacitated Patients? A Scoping Review of Reasons to Facilitate Medico-Legal Considerations.Healthcare (Basel, Switzerland) · 2025Review
- Biases in AI: acknowledging and addressing the inevitable ethical issues.Frontiers in digital health · 2025Review
- Incorporating Patient Values in Large Language Model Recommendations for Surrogate and Proxy Decisions.Critical care explorations · 2024Article
- The Role of Humanization and Robustness of Large Language Models in Conversational Artificial Intelligence for Individuals With Depression: A Critical Analysis.JMIR mental health · 2024Article
- A Personalized Patient Preference Predictor for Substituted Judgments in Healthcare: Technically Feasible and Ethically Desirable.The American journal of bioethics : AJOB · 2024Article
- Clearing the Fog: A Scoping Literature Review on the Ethical Issues Surrounding Artificial Intelligence-Based Medical Devices.Journal of personalized medicine · 2024Article
- Predicting patient reported outcome measures: a scoping review for the artificial intelligence-guided patient preference predictor.Frontiers in artificial intelligence · 2024Article
- Aneurysmal Subarachnoid Hemorrhage and Clinical Decision-Making: A Qualitative Pilot Study Exploring Perspectives of Those Directly Affected, Their Next of Kin, and Treating Clinicians.International journal of environmental research and public health · 2023Article
- A case for preference-sensitive decision timelines to aid shared decision-making in intensive care: need and possible application.Frontiers in digital health · 2023Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) systems are quickly gaining ground in healthcare and clinical decision-making. However, it is still unclear in what way AI can or should support decision-making that is based on incapacitated patients' values and goals of care, which often requires input from clinicians and loved ones. Although the use of algorithms to predict patients' most likely preferred treatment has been discussed in the medical ethics literature, no example has been realised in clinical practice. This is due, arguably, to the lack of a structured approach to the epistemological, ethical and pragmatic challenges arising from the design and use of such algorithms. The present paper offers a new perspective on the problem by suggesting that preference predicting AIs be viewed as sociotechnical systems with distinctive life-cycles. We explore how both known and novel challenges map onto the different stages of development, highlighting interdisciplinary strategies for their resolution.
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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.