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User-Centred Evaluation of XAI in Healthcare: A Critical Analysis of Properties, Measurements, and Relations

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Explaining artificial intelligence with visual analytics in healthcare
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The Factor Structure of the System Usability Scale
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An ASER AI/ML expert panel formative user research study for an interpretable interactive splenic AAST grading graphical user interface prototype
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Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations
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Explanation in artificial intelligence: Insights from the social sciences
inferredcites →https://doi.org/10.1016/j.artint.2022.103839openalex-snapshot
Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-making
inferredcites →https://doi.org/10.1016/j.artmed.2019.01.001openalex-snapshot
Explainable artificial intelligence for breast cancer: A visual case-based reasoning approach
inferredcites →https://doi.org/10.1016/j.artmed.2022.102285openalex-snapshot
BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions
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Never tell me the odds: Investigating pro-hoc explanations in medical decision making
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Developing guidelines for functionally-grounded evaluation of explainable artificial intelligence using tabular data
inferredcites →https://doi.org/10.1016/j.future.2020.10.030openalex-snapshot
HealthXAI: Collaborative and explainable AI for supporting early diagnosis of cognitive decline
inferredcites →https://doi.org/10.1016/j.future.2021.11.018openalex-snapshot
Explainable framework for Glaucoma diagnosis by image processing and convolutional neural network synergy: Analysis with doctor evaluation
inferredcites →https://doi.org/10.1016/j.heliyon.2023.e16110openalex-snapshot
Essential properties and explanation effectiveness of explainable artificial intelligence in healthcare: A systematic review
inferredcites →https://doi.org/10.1016/j.ijhcs.2021.102607openalex-snapshot
Introduction of human-centric AI assistant to aid radiologists for multimodal breast image classification
inferredcites →https://doi.org/10.1016/j.imu.2024.101587openalex-snapshot
A survey of explainable artificial intelligence in healthcare: Concepts, applications, and challenges
inferredcites →https://doi.org/10.1016/j.inffus.2021.05.009openalex-snapshot
Notions of explainability and evaluation approaches for explainable artificial intelligence
inferredcites →https://doi.org/10.1016/j.ins.2022.10.010openalex-snapshot
PLENARY: Explaining black-box models in natural language through fuzzy linguistic summaries
inferredcites →https://doi.org/10.1016/j.ins.2023.119987openalex-snapshot
Uncertainty-aware multi-criteria decision analysis for evaluation of explainable artificial intelligence methods: A use case from the healthcare domain
inferredcites →https://doi.org/10.1016/j.jbi.2022.104013openalex-snapshot
Three-stage intelligent support of clinical decision making for higher trust, validity, and explainability
inferredcites →https://doi.org/10.1016/j.knosys.2023.110273openalex-snapshot
Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities
inferredcites →https://doi.org/10.1016/j.media.2022.102721openalex-snapshot
Explaining the Black-box Smoothly- A Counterfactual Approach
inferredcites →https://doi.org/10.1038/s41467-023-43095-4openalex-snapshot
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma
inferredcites →https://doi.org/10.1038/s41591-019-0548-6openalex-snapshot
Do no harm: a roadmap for responsible machine learning for health care
inferredcites →https://doi.org/10.1057/ejis.2012.26openalex-snapshot
A method for taxonomy development and its application in information systems
inferredcites →https://doi.org/10.1093/jamiaopen/ooac031openalex-snapshot
Impact of explainable artificial intelligence assistance on clinical decision-making of novice dental clinicians
inferredcites →https://doi.org/10.1097/ijg.0000000000002163openalex-snapshot
Usability and Clinician Acceptance of a Deep Learning-Based Clinical Decision Support Tool for Predicting Glaucomatous Visual Field Progression
inferredcites →https://doi.org/10.1109/trex53765.2021.00007openalex-snapshot
Trust in Prediction Models: a Mixed-Methods Pilot Study on the Impact of Domain Expertise
inferredcites →https://doi.org/10.1109/tvcg.2022.3209435openalex-snapshot
Extending the Nested Model for User-Centric XAI: A Design Study on GNN-based Drug Repurposing
inferredcites →https://doi.org/10.1145/2043932.2043962openalex-snapshot
A user-centric evaluation framework for recommender systems
inferredcites →https://doi.org/10.1145/3351095.3372870openalex-snapshot
Explainability fact sheets
inferredcites →https://doi.org/10.1145/3387166openalex-snapshot
A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems
inferredcites →https://doi.org/10.1145/3457187openalex-snapshot
Doctor's Dilemma: Evaluating an Explainable Subtractive Spatial Lightweight Convolutional Neural Network for Brain Tumor Diagnosis
inferredcites →https://doi.org/10.1145/3587271openalex-snapshot
Co-design of Human-centered, Explainable AI for Clinical Decision Support
inferredcites →https://doi.org/10.1177/0018720812465081openalex-snapshot
I Trust It, but I Don’t Know Why
inferredcites →https://doi.org/10.1177/1073191118793208openalex-snapshot
The Very Efficient Assessment of Need for Cognition: Developing a Six-Item Version
inferredcites →https://doi.org/10.1186/s12911-020-01276-xopenalex-snapshot
A qualitative research framework for the design of user-centered displays of explanations for machine learning model predictions in healthcare
inferredcites →https://doi.org/10.1186/s12911-023-02101-xopenalex-snapshot
Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital
inferredcites →https://doi.org/10.1371/journal.pdig.0000016openalex-snapshot
To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems
inferredcites →https://doi.org/10.1371/journal.pone.0291443openalex-snapshot
Examining explainable clinical decision support systems with think aloud protocols
inferredcites →https://doi.org/10.1609/hcomp.v10i1.21995openalex-snapshot
Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI
inferredcites →https://doi.org/10.2196/15154openalex-snapshot
Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians
inferredcites →https://doi.org/10.2196/50328openalex-snapshot
A Mobile App That Addresses Interpretability Challenges in Machine Learning–Based Diabetes Predictions: Survey-Based User Study
inferredcites →https://doi.org/10.2307/249008openalex-snapshot
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
inferredcites →https://doi.org/10.3389/frobt.2021.640647openalex-snapshot
Moral Decision Making in Human-Agent Teams: Human Control and the Role of Explanations
inferredcites →https://doi.org/10.3390/app11115088openalex-snapshot
Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review
inferredcites →https://doi.org/10.3390/diagnostics14070753openalex-snapshot
Advancing Dermatological Diagnostics: Interpretable AI for Enhanced Skin Lesion Classification
inferredcites →https://doi.org/10.3934/mbe.2022489openalex-snapshot
Towards a systematic approach for argumentation, recommendation, and explanation in clinical decision support
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