Editorial: Explainable artificial intelligence for critical healthcare applications

Editorial: Explainable artificial intelligence for critical healthcare applications

Bibliographic Details
Main Authors:	Zhe He, Rui Zhang, Gayo Diallo, Zhengxing Huang, Benjamin S. Glicksberg
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-09-01
Series:	Frontiers in Artificial Intelligence
Subjects:	explainable artificial intelligence healthcare application health informatics electronic health records medical image
Online Access:	https://www.frontiersin.org/articles/10.3389/frai.2023.1282800/full

Similar Items

An improved explainable artificial intelligence tool in healthcare for hospital recommendation
by: Yu-Cheng Wang, et al.
Published: (2023-11-01)

Healthcare Trust Evolution with Explainable Artificial Intelligence: Bibliometric Analysis
by: Pummy Dhiman, et al.
Published: (2023-10-01)

Explainable Artificial Intelligence (XAI): Concepts and Challenges in Healthcare
by: Tim Hulsen
Published: (2023-08-01)

A systematic approach to enhance the explainability of artificial intelligence in healthcare with application to diagnosis of diabetes
by: Yu-Cheng Wang, et al.
Published: (2023-11-01)

A Systematic Review of Human–Computer Interaction and Explainable Artificial Intelligence in Healthcare With Artificial Intelligence Techniques
by: Mobeen Nazar, et al.
Published: (2021-01-01)

Benefits of Information Technology in Healthcare: Artificial Intelligence, Internet of Things, and Personal Health Records
by: Hyejung Chang, et al.
Published: (2023-10-01)

Path To Gain Functional Transparency In Artificial Intelligence With Meaningful Explainability
by: Khaleque Insia, et al.
Published: (2023-12-01)

An Explainable Artificial Intelligence Model for Detecting Xenophobic Tweets
by: Gabriel Ichcanziho Pérez-Landa, et al.
Published: (2021-11-01)

Editorial: Explainable artificial intelligence models and methods in finance and healthcare
by: Brian S. Caffo, et al.
Published: (2022-08-01)

A Review on Interpretable and Explainable Artificial Intelligence in Hydroclimatic Applications
by: Hakan Başağaoğlu, et al.
Published: (2022-04-01)

Corrigendum: Editorial: Explainable artificial intelligence models and methods in finance and healthcare
by: Brian S. Caffo, et al.
Published: (2023-02-01)

Explaining Machine Learning Predictions of Decision Support Systems in Healthcare
by: Polat Erdeniz Seda, et al.
Published: (2022-09-01)

Explainable Artificial Intelligence in CyberSecurity: A Survey
by: Nicola Capuano, et al.
Published: (2022-01-01)

Application of explainable artificial intelligence in medical health: A systematic review of interpretability methods
by: Shahab S Band, et al.
Published: (2023-01-01)

Essential properties and explanation effectiveness of explainable artificial intelligence in healthcare: A systematic review
by: Jinsun Jung, et al.
Published: (2023-05-01)

A Systematic Review of Explainable Artificial Intelligence in Terms of Different Application Domains and Tasks
by: Mir Riyanul Islam, et al.
Published: (2022-01-01)

Explainable Artificial Intelligence for Patient Safety: A Review of Application in Pharmacovigilance
by: Seunghee Lee, et al.
Published: (2023-01-01)

Fuzzy Cognitive Maps: Their Role in Explainable Artificial Intelligence
by: Ioannis D. Apostolopoulos, et al.
Published: (2023-03-01)

An Explainable Artificial Intelligence Approach for Remaining Useful Life Prediction
by: Genane Youness, et al.
Published: (2023-05-01)

Applications of Explainable Artificial Intelligence in Diagnosis and Surgery
by: Yiming Zhang, et al.
Published: (2022-01-01)

Artificial Intelligence in Healthcare
by: Amirhosein Nabizadeh
Published: (2022-12-01)

A Review of Trustworthy and Explainable Artificial Intelligence (XAI)
by: Vinay Chamola, et al.
Published: (2023-01-01)

A Scoping Review on the Progress, Applicability, and Future of Explainable Artificial Intelligence in Medicine
by: Raquel González-Alday, et al.
Published: (2023-09-01)

Explainable Artificial Intelligence (XAI): A Systematic Literature Review on Taxonomies and Applications in Finance
by: Tiago Martins, et al.
Published: (2024-01-01)

The Enlightening Role of Explainable Artificial Intelligence in Chronic Wound Classification
by: Salih Sarp, et al.
Published: (2021-06-01)

Classification of Explainable Artificial Intelligence Methods through Their Output Formats
by: Giulia Vilone, et al.
Published: (2021-08-01)

Predicting near-term glaucoma progression: An artificial intelligence approach using clinical free-text notes and data from electronic health records
by: Sunil K. Jalamangala Shivananjaiah, et al.
Published: (2023-04-01)

Metrics, Explainability and the European AI Act Proposal
by: Francesco Sovrano, et al.
Published: (2022-02-01)

Artificial intelligence and healthcare
by: Akshit Mittal, et al.
Published: (2023-01-01)

Knowledge Graphs and Explainable AI in Healthcare
by: Enayat Rajabi, et al.
Published: (2022-09-01)

Gaining Insight Into Solar Photovoltaic Power Generation Forecasting Utilizing Explainable Artificial Intelligence Tools
by: Murat Kuzlu, et al.
Published: (2020-01-01)

Artificial intelligence and healthcare: An ethical dilemma
by: Zubair Ahmed Ratan, et al.
Published: (2023-06-01)

Investigation of potential biomarkers in prediction of acute myocardial infarction via explainable artificial intelligence
by: Rustem Yilmaz
Published: (2023-06-01)

Impact of artificial intelligence and big data on the healthcare profession?
by: Raman Kumar
Published: (2021-01-01)

Recent Advances of Artificial Intelligence in Healthcare: A Systematic Literature Review
by: Fotis Kitsios, et al.
Published: (2023-06-01)

A Multi-Component Framework for the Analysis and Design of Explainable Artificial Intelligence
by: Mi-Young Kim, et al.
Published: (2021-11-01)

Medical applications of artificial intelligence /
by: Agah, Arvin, editor
Published: ( 201)

Editorial: Explainable artificial intelligence
by: Chathurika S. Wickramasinghe, et al.
Published: (2023-10-01)

Explainable artificial intelligence and social science: Further insights for qualitative investigation
by: Adam J. Johs, et al.
Published: (2022-02-01)

Toward Building Trust in Machine Learning Models: Quantifying the Explainability by SHAP and References to Human Strategy
by: Zhaopeng Li, et al.
Published: (2024-01-01)