Building a Trustworthy Explainable AI in Healthcare (original) (raw)

Explainable AI in Healthcare: Enhancing Transparency and Trust upon Legal and Ethical Consideration

IRJET Journal

IRJET, 2023

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Going Beyond Explainability in Medical AI Systems

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2020

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Explainable Artificial Intelligence (XAI) in Healthcare: Enhancing Transparency and Trust

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How Explainability Contributes to Trust in AI

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A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?

Subrato Bharati

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How to Induce Trust in Medical AI Systems

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Accountability, Transparency and Explainability in AI for Healthcare

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Explainable Artificial Intelligence (XAI) in Healthcare

Tim Hulsen

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AI Healthcare System Interface: Explanation Design for Non-Expert User Trust

Anna De Liddo

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To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems

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Explainable Artificial Intelligence (XAI): Concepts and Challenges in Healthcare

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AI

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Building Trust to AI Systems Through Explainability. Technical and legal perspectives

Michał Araszkiewicz

2019

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AI Explanation Understanding from User’s Perspective in Healthcare Application

Retno Anisa Larasati

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Explainable machine learning practices: opening another black box for reliable medical AI

Mark Graves

AI and Ethics, 2022

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Explainable AI, but explainable to whom?

Julie Gerlings

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Unlocking the Black Box: Explainable Artificial Intelligence (XAI) for Trust and Transparency in AI Systems

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Advancing Trustworthy Explainable Artificial Intelligence: Principles, Goals, and Strategies

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The human-AI relationship in decision-making: AI explanation to support people on justifying their decisions

Mateus Monteiro

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A Brief Review of Explainable Artificial Intelligence in Healthcare

roohallah alizadehsani

arXiv (Cornell University), 2023

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Explainability in medicine in an era of AI-based clinical decision support systems

Daan Van Cauwenberge

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What we talk about when we talk about trust: Theory of trust for AI in healthcare

Anna Jobin

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The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI

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Explainable Artificial Intelligence (XAI) in Biomedicine: Making AI Decisions Trustworthy for Physicians and Patients

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BioMedInformatics

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Shane Mueller

BMC Medical Informatics and Decision Making, 2021

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Explainable Artificial Intelligence for Human Decision Support System in the Medical Domain

Samanta Knapič

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Explainable AI for Healthcare 5.0: Opportunities and Challenges

Pitshou Bokoro

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