What is Explainable Artificial Intelligence?
Also: Explainable AI, XAI
Explainable Artificial Intelligence is AI that explains its decisions in a way that humans can understand. (Also: Explainable AI, XAI.)
In terms of data and intelligence
Explainable Artificial Intelligence is related to the approach of transforming data into insights and decision support in AI-supported healthcare processes. The goal is not to make decisions on behalf of humans but to make the right data visible at the right time.
Practical framework
In addition to model performance, data quality, explainability, and regulatory compliance are also part of success.
What does it do in practice?
Explainable Artificial Intelligence goes beyond being an abstract title; when working with real patient and operational data, it can translate into tangible gains in time, cost, and quality.
For relevant consulting areas, you can check our solutions, and to see the whole topic, you can review the AI-Supported Hospital Management guide.
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What is Explainable Artificial Intelligence?
AI that explains its decisions in a way that humans can understand. (Also known as Explainable AI, XAI)
How is Explainable Artificial Intelligence used in AI-supported processes?
Explainable Artificial Intelligence plays a role in transforming clinical and operational data into insights; it does not make decisions but supports the decisions of the relevant teams.
Under which title is Explainable Artificial Intelligence evaluated?
Explainable Artificial Intelligence is addressed under the title of Artificial Intelligence in the context of health information systems and digital transformation.