Deep learning is an artificial intelligence (AI) function that simulates the human brain in performing tasks like data processing and decision-making. It uses a layered algorithmic architecture while performing data analysis. Deep learning AI allows machines to solve complex problems, including a dataset that is very diverse, unstructured, and inter-connected. Artificial intelligence-based processes like machine learning and deep learning are often used interchangeably, but both are different in their capabilities.
Deep learning is a part of machine learning, and both perform similar functions. Deep learning in healthcare plays a critical role. It assists healthcare professionals and researchers in finding out the hidden opportunities in data, which in turn helps them in serving the healthcare industry better.
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Artificial intelligence in healthcare is used to interpret the complicated medical and healthcare data by the utilization of machine learning algorithms and artificial intelligence. Machine learning is used in the field of radiology to detect and diagnose diseases through computerized tomography and magnetic resonance imaging. The identification of drug interactions in medical literature can be possible by improving the natural language processing. This electronic health record data helps to identify the symptoms of the patients.
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