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• Machine Learning :AI in healthcare that uses machine learning require data for training, for which the end result is known. This is known as supervised learning.
• Natural Language Processing : NLP systems include forms of speech recognition or text analysis and then translation. A common use of artificial intelligence in healthcare involves NLP applications that can understand and classify clinical documentation.
• Rule-based Expert Systems :Expert systems based on variations of ‘if-then’ rules, entail human experts and engineers to build an extensive series of rules in a certain knowledge area.
• Diagnosis and Treatment Applications : Diagnosis and treatment of disease are the core of artificial intelligence in healthcare
• Administrative Applications : It is used for claims processing, clinical documentation, revenue cycle management and medical records management.

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