The Role of Explainable AI (XAI) in Transforming Healthcare Decision-Making

Healthcare is one of the most important areas now concerned with artificial intelligence (AI), whereas many AI systems are widely known as “black boxes” due to their lack of transparency. There is, however, a new phenomenon that is about to take the medical world by storm. There are many names for it out there, but the most commonly used acronym is Explainable Artificial Intelligence (XAI). It means doctors receive not only an AI-based diagnosis but also an explanation for such conclusions—this is a brief explanation of what XAI is.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-09
DOI
https://doi.org/10.5281/zenodo.14677039
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
0.00
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article

The Role of Explainable AI (XAI) in Transforming Healthcare Decision-Making

Zenodo (CERN European Organization for Nuclear Research)
Explainable Artificial Intelligence (XAI)
article

The Role of Explainable AI (XAI) in Transforming Healthcare Decision-Making

article en

Abstract

Healthcare is one of the most important areas now concerned with artificial intelligence (AI), whereas many AI systems are widely known as “black boxes” due to their lack of transparency. There is, however, a new phenomenon that is about to take the medical world by storm. There are many names for it out there, but the most commonly used acronym is Explainable Artificial Intelligence (XAI). It means doctors receive not only an AI-based diagnosis but also an explanation for such conclusions—this is a brief explanation of what XAI is.

Zenodo (CERN European Organization for Nuclear Research)
Information Today (United States) (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 68%
Explainable Artificial Intelligence (XAI)
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The Role of Explainable AI (XAI) in Transforming Healthcare Decision-Making · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS