v1v2 (latest)

The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies

Journal of Biomedical Informatics (JBI), 2020

31 July 2020

Papers citing "The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies"

50 / 82 papers shown

o-MEGA: Optimized Methods for Explanation Generation and Analysis

225

30 Sep 2025

Assessing the Noise Robustness of Class Activation Maps: A Framework for Reliable Model InterpretabilityImage and Vision Computing (IVC), 2025

122

25 Aug 2025

Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI

Mahdi Alehdaghi

Rajarshi Bhattacharya

498

16 Apr 2025

Identifying Trustworthiness Challenges in Deep Learning Models for Continental-Scale Water Quality Prediction

522

13 Mar 2025

Explainable AI for Clinical Outcome Prediction: A Survey of Clinician Perceptions and Preferences

Jun Hou

Lucy Lu Wang

245

27 Feb 2025

Explainable Artificial Intelligence for Medical Applications: A Review

Qiyang Sun

Alican Akman

Björn Schuller

589

15 Nov 2024

Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review

606

07 Nov 2024

Parsing altered brain connectivity in neurodevelopmental disorders by integrating graph-based normative modeling and deep generative networks

248

14 Oct 2024

"ChatGPT, Don't Tell Me What to Do": Designing AI for Context Analysis in Humanitarian Frontline NegotiationsSymposium on Human-Computer Interaction for Work (CHI4Work), 2024

ZIlin Ma

256

11 Oct 2024

Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making SkillsInternational Conference on Human Factors in Computing Systems (CHI), 2024

405

05 Oct 2024

Explaining word embeddings with perfect fidelity: Case study in research impact prediction

301

24 Sep 2024

Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction

Khang Lam

900

137

30 Aug 2024

Evaluating Explainable AI Methods in Deep Learning Models for Early Detection of Cerebral PalsyIEEE Access (IEEE Access), 2024

Espen Alexander F. Ihlen

209

14 Aug 2024

A Concept-Based Explainability Framework for Large Multimodal Models

397

12 Jun 2024

Weak Robust Compatibility Between Learning Algorithms and Counterfactual Explanation Generation Algorithms

Ao Xu

Tieru Wu

304

31 May 2024

Explainable Interface for Human-Autonomy Teaming: A Survey

337

04 May 2024

Influence based explainability of brain tumors segmentation in multimodal Magnetic Resonance Imaging

352

05 Apr 2024

Foundation Model for Advancing Healthcare: Challenges, Opportunities, and Future DirectionsIEEE Reviews in Biomedical Engineering (RBME), 2024

Hao Chen

428

117

04 Apr 2024

What Does Evaluation of Explainable Artificial Intelligence Actually Tell Us? A Case for Compositional and Contextual Validation of XAI Building Blocks

Kacper Sokol

Julia E. Vogt

306

19 Mar 2024

A Survey of Explainable Knowledge Tracing

386

12 Mar 2024

Determinants of LLM-assisted Decision-Making

Eva Eigner

Thorsten Händler

405

27 Feb 2024

What is the focus of XAI in UI design? Prioritizing UI design principles for enhancing XAI user experience

Dian Lei

Yao He

Jianyou Zeng

448

21 Feb 2024

From Movements to Metrics: Evaluating Explainable AI Methods in Skeleton-Based Human Activity Recognition

Kimji N. Pellano

Inga Strümke

Espen Alexander F. Ihlen

260

20 Feb 2024

On The Nature Of The Phenotype In Tree Genetic Programming

Wolfgang Banzhaf

I. Bakurov

160

12 Feb 2024

XAI-CF -- Examining the Role of Explainable Artificial Intelligence in Cyber Forensics

Shahid Alam

Zeynep Altıparmak

395

04 Feb 2024

Clinical Melanoma Diagnosis with Artificial Intelligence: Insights from a Prospective Multicenter Study

...

382

25 Jan 2024

End-to-End Optimized Image Compression with the Frequency-Oriented TransformMachine Vision and Applications (MVA), 2024

Yuefeng Zhang

Kai Lin

273

16 Jan 2024

Trusting AI in High-stake Decision Making

Ali Saffarini

162

30 Dec 2023

Explainable artificial intelligence approaches for brain-computer interfaces: a review and design space

Param S. Rajpura

H. Cecotti

Y. Meena

313

20 Dec 2023

Can Physician Judgment Enhance Model Trustworthiness? A Case Study on Predicting Pathological Lymph Nodes in Rectal Cancer

231

15 Dec 2023

Clash of the Explainers: Argumentation for Context-Appropriate Explanations

Leila Methnani

Virginia Dignum

Andreas Theodorou

143

12 Dec 2023

Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation

Niklas Kühl

284

05 Dec 2023

Lessons from Usable ML Deployments and Application to Wind Turbine Monitoring

178

05 Dec 2023

On the Relationship Between Interpretability and Explainability in Machine Learning

Benjamin Leblanc

Pascal Germain

FaML

476

20 Nov 2023

Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research DirectionsInformation Fusion (Inf. Fusion), 2023

...

598

463

30 Oct 2023

XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series ClassificationInternational Conference on Machine Learning and Applications (ICMLA), 2023

304

23 Oct 2023

Explainable Depression Symptom Detection in Social Media

Eliseo Bao Souto

Anxo Perez

Javier Parapar

340

20 Oct 2023

Evaluation of Human-Understandability of Global Model Explanations using Decision Tree

279

18 Sep 2023

Ethical Framework for Harnessing the Power of AI in Healthcare and BeyondIEEE Access (IEEE Access), 2023

Sidra Nasir

Rizwan Ahmed Khan

Samita Bai

278

31 Aug 2023

Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic StrokeACM International Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB), 2023

141

04 Aug 2023

Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI

227

31 Jul 2023

Self-Supervised Learning of Gait-Based Biomarkers

198

30 Jul 2023

On the Connection between Game-Theoretic Feature Attributions and Counterfactual ExplanationsAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023

312

13 Jul 2023

Identifying Early Help Referrals For Local Authorities With Machine Learning And Bias AnalysisJournal of Computational Social Science (JCSS), 2023

238

13 Jul 2023

Explainable Predictive Maintenance

...

321

08 Jun 2023

Are Your Explanations Reliable? Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial AttackConference on Empirical Methods in Natural Language Processing (EMNLP), 2023

290

21 May 2023

Trustworthy, responsible, ethical AI in manufacturing and supply chains: synthesis and emerging research questions

Giovanna Martínez-Arellano

Jatinder Singh

265

19 May 2023

MLHOps: Machine Learning for Healthcare Operations

Kristoffer Larsen

Vallijah Subasri

A. Krishnan

Cláudio Tinoco Mesquita

Diana Paez

Laleh Seyyed-Kalantari

Amalia Peix

LM&MA AI4TS VLM

299

04 May 2023

AI-Assisted Ethics? Considerations of AI Simulation for the Ethical Assessment and Design of Assistive TechnologiesFrontiers in Genetics (Front. Genet.), 2023

30 Apr 2023

A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?IEEE Transactions on Artificial Intelligence (IEEE TAI), 2023

M. Rubaiyat

Hossain Mondal

Prajoy Podder

327

128

10 Apr 2023