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A review of Explainable Artificial Intelligence in healthcare


A review of Explainable Artificial Intelligence in healthcare

This study focuses on the significance of XAI in addressing healthcare-related challenges, underscoring its vital role in safety-critical scenarios.

(PDF) A review of Explainable Artificial Intelligence in healthcare

Our paper conducts a systematic review of the various facets and challenges of XAI within the healthcare realm.

A Review on Explainable Artificial Intelligence for Healthcare

In this article, we give a systematic analysis of explainable artificial intelligence (XAI), with a primary focus on models that are currently being used in ...

A Brief Review of Explainable Artificial Intelligence in Healthcare

This paper presents a systematic review of XAI aspects and challenges in the healthcare domain. The primary goals of this study are to review various XAI ...

A Review on Explainable Artificial Intelligence for Healthcare - arXiv

In this article, we give a systematic analysis of explainable artificial intelligence (XAI), with a primary focus on models that are currently being used in ...

[PDF] A Review on Explainable Artificial Intelligence for Healthcare

A systematic analysis of explainable artificial intelligence (XAI), with a primary focus on models that are currently being used in the field of healthcare, ...

A Review on Explainable Artificial Intelligence for Healthcare: Why ...

Artificial intelligence (AI) models are increasingly finding applications in the field of medicine. Concerns have been raised about the explainability of ...

A Review of Explainable AI in Healthcare Decision-Making

responsible integration of AI in healthcare. Keywords: Explainable AI, Artificial Intelligence, Healthcare, Machine Learning, Deep Learning.

Explainable Artificial Intelligence in Healthcare -A Review

This study focuses on the application of Explainable Artificial Intelligence (XAI) in Stroke, heart attack and cancer prediction, highlighting the importance ...

A survey of explainable artificial intelligence in healthcare: Concepts ...

This paper provides a comprehensive review of XAI in healthcare, covering techniques, challenges, opportunities, and advancements.

A review of explainable and interpretable AI with applications in ...

The development of medical imaging artificial intelligence (AI) systems for evaluating COVID‐19 patients has demonstrated potential for improving clinical ...

Explainable AI in Healthcare: Systematic Review of Clinical ...

In conclusion, the synthesis of datasets, winning models, and explainer methods form a rich tapestry in the evolution of XAI for CDSSs. Beyond ...

A systematic review of Explainable Artificial Intelligence in medical ...

This systematic literature review examines state-of-the-art Explainable Artificial Intelligence (XAI) methods applied to medical image ...

Explainable and interpretable artificial intelligence in medicine

The Explainability property of a model includes the ability to provide detailed and understandable reasoning for specific decisions.

Explainable Artificial Intelligence in the Medical Domain

Accordingly, this paper aims to provide a systematic review of existing works on explainable AI methods and techniques within medical domain by showing how the ...

Explainable Artificial Intelligence in Healthcare Systems

The twenty chapters in this book offer a comprehensive overview of the theory, algorithms, and applications of interpretable and explainable artificial ...

Editorial: Explainable artificial intelligence for critical healthcare ...

Why is explainability a major concern in medical AI and crucial for its trustworthiness? Traditional machine learning highly relies on laborious feature ...

Explainability for artificial intelligence in healthcare

In other words, explainability can assist clinicians in evaluating the recommendations provided by a system based on their experience and ...

Explainable Artificial Intelligence in Healthcare Applications and ...

Explainable AI (XAI) has emerged as a promising approach to address this concern. XAI aims to make AI models transparent and interpretable by providing ...

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

Artificial Intelligence (AI) describes computer systems able to perform tasks that normally require human intelligence, such as visual perception, ...


Guest Lecturer: J.D. Whitlock, CIO, Dayton Children's to speak at WBI-444