Abstract
Artificial intelligence (AI) has recently become one of the most heavily
debated themes in the technological world. AI is active in numerous fields and now it
has lately entered the healthcare sector. In addition to biomarkers, the use of AI is
increasing in a variety of applications such as genetic editing, disease prediction and
diagnostics, drug development, personalized treatment, and so on. Accuracy in disease
diagnostics is essential for effective and efficient treatment as well as patient safety.
Artificial intelligence is a wide and varied field of data, analytics and continuously
evolving insights that meet the needs of the healthcare sector as well as patients. The
purpose of the many subsections in this book chapter is to shed light on how AI
integrated with machine learning (ML) & Deep-learning (DL) techniques operate in
various disease diagnosis domains, medication discovery, medical visualization, digital
health records, and electro-medical equipment.
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