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Explainable AI ( XAI ), often overlapping with interpretable AI, or explainable machine learning ( XML ), either refers to an artificial intelligence (AI) system over which it is possible for humans to retain intellectual oversight, or refers to the methods to achieve this. [1] [2] The main focus is usually on the reasoning behind the decisions ...
v. t. e. Artificial intelligence in healthcare is the application of artificial intelligence (AI) to copy human cognition in the analysis, presentation, and understanding of complex medical and health care data, or to exceed human capabilities by providing new ways to diagnose, treat, or prevent disease. [1] [2] Specifically, AI is the ability ...
Artificial intelligence in mental health. Artificial intelligence in mental health is the application of artificial intelligence (AI), computational technologies and algorithms to supplement the understanding, diagnosis, and treatment of mental health disorders. [1] AI is becoming a ubiquitous force in everyday life which can be seen through ...
The overall market for AI in healthcare is expected to grow to $188 billion by 2030 from $11 billion in 2021, according to Precedence Research. The market for clinical software alone is expected ...
Chief digital and information officer Aaron Miri is leading the incorporation of AI "into health care workflows while keeping privacy, accuracy, safety and ethics top-of-mind," Baptist Health said.
This has led to advocacy and in some jurisdictions legal requirements for explainable artificial intelligence. Explainable artificial intelligence encompasses both explainability and interpretability, with explainability relating to summarizing neural network behavior and building user confidence, while interpretability is defined as the ...
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