Bridging the Gap: Consensus-Based Considerations for AI Usefulness in Healthcare.
Ambient Intelligence as a Public Good in Healthcare: What Public Health Ethics Can Teach Us.
A Relational Justice Approach for Ambient Intelligence for Elder Care.
The Ethics of Ambience: Narrative Approaches to Justice in Healthcare AI.
Doing Justice to the Patient's Words: the Ethics of AI Scribes.
Justice Begins in the Field: How Empirical Data Can Inform Ethical Analysis of Ambient Intelligence Systems.
Ambient Intelligence Highlights Familiar Obstacles to Pre-Deployment Testing of Healthcare Innovations.
Ambient Intelligence, Surveillance, and Justice.
Ableism in Ambient Intelligence Systems' Source Data Related to Clinical Return-of-Result Conversations.
Retaining Patient-Firstness in Artificially Intelligent Healthcare.
A Communitarian Ethics Approach to Ambient Intelligence Systems in Healthcare.
AI Therapists vs Companions: Wellness, Licensure, and Liability.
Re-Entrenching Vulnerability and the Ethics of AI Psychotherapy Chatbots.
Indication is Key to Prevent Inverse Care.
Belmont, Operationalized: Making AI Psychotherapy's Harms Calculable and Accountable.
The Dangers of Using AI Psychotherapy Chatbots to Treat Eating Disorders.
The Potential Harms of AI Psychotherapy: A Fear as Old as ELIZA.
Against What Standard? Why AI Therapists Face Impossible Expectations.
Artificial Intelligence Can't Replicate Human Presence in Psychotherapy.
A Legal Time Bomb: Toward Enforceable Accountability for AI Psychotherapy.
Engagement Versus Therapeutic Alliance: Large Language Models in AI Psychotherapy.
Seven Desiderata for Ethical Frameworks for AI Mental Health Agents.
AI Psychotherapy and Epistemic Harms.
The Sound of Silence: What AI Psychotherapy Chatbots Bring About While Always Chattering.
Empty Gestures: Ethics Washing, Mental Health, and OpenAI.
When It Comes to AI for Mental Health, the Real Problem Isn't in the AIs Seeking FDA Approval, but in Those That Don't.
Ethics Guides Innovation: Reimagining Sepsis Care with Multimodal Generative AI.
Developers Are Central for Mitigation of AI Bias.
Biases as Risk Factors to Patient Security? A Taxonomy of Algorithmic Harm in Health.
Upstream from Urosepsis: Removing Race from Pediatric Urinary Tract Infection Algorithms.
Beyond Ethics-Based Initiatives for Mitigating Bias in Machine Learning Models: An Integrated Ethics by Design Framework.
Mitigating Bias in Sepsis Risk Prediction Models: Insights from a Stakeholder-Based Ethical Assessment.
From Mitigation to Flourishing: We Must Harness Emerging Technologies to Improve Health of the Most Vulnerable.
Brain Death and Live Birth: History and Bioethics.
Out of Sequence Offers: Towards Efficient, Equitable Organ Allocation.
AOOS Reflects an Opportunity for Better, Inclusive, Policy-Making.
Pregnancy Exceptionalism in End-of-Life Care: Ethical Challenges and the Need for Updated Guidance.
From End-of-Life Care to Posthumous Use: Reframing Brain Death in Pregnancy.
The Ubiquitous Pertinence of Double-Effect.
Speaking Without Knowing: Ethical Risks in Public Commentary on Patient Cases.
The Pitfalls of Media Coverage as Advocacy.
Fetal Personhood, Legal Ambiguity and the Treatment of Brain Death in Pregnancy.
Brain Death: Five Mandates to Continue Technologic Support After Death.
When Death Meets Dobbs: Fear as Policy in Organ Donation.
Highlighting Drivers of Moral Injury in Neuro-Obstetric Ethical Dilemmas.
When Life Support Becomes Unfair: Issues Related to Resource Allocation in the Smith Case.
Whole Body Gestational Donation, and the Real Life Case of Adriana Smith.
The Unattainable Standard.
Ethical Controversies in the Adriana Smith Brain Death Case: Digging in Deeper by Missing Fundamental Ethical Points.
Allocation out of Sequence, as Currently Practiced in the United States, Cannot be Ethically Justified.