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Oct 8, 2023 · In this paper, we propose a methodology to enable clinical reasoning by semantically enriching AI explanations.
Starting with a medical AI explanation based only on the input features provided to the algorithm, our methodology leverages medical ontologies and NLP ...
Therefore, in this paper, we propose a methodology to enable clinical reasoning by semantically enriching AI explanations. Starting with a medical AI ...
We present a methodology that aims to enable clinical reasoning by semantically enrich the explanationof a prediction by exploiting the content of a medical ...
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Dec 19, 2024 · This section briefly introduces explainable artificial intelligence (XAI) approaches utilized in DL to analyze medical images. XAI refers to ...
Why semantic interoperability and terminology management are key components in healthcare organizations' applications for generative AI.
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Oct 3, 2024 · This survey presents an comprehensive review across various image modalities and clinical applications. It covers more than 200 papers from three key ...
Nov 1, 2023 · Generative AI models can empower organizations to create, enrich and manage semantic models efficiently—unlocking valuable insights from their ...
Healthcare policymakers and government use AI‐based tools to control and predict infections and outbreaks. An example is FINDER, a machine‐learned model for ...
This semantic-driven explainable artificial intelligence prototype can enhance health care practitioners' ability to provide explanations for the decisions ...