Artificial Intelligence and Deep Learning

Artificial intelligence in healthcare is the use of machine-learning algorithms and software to analyze, process and present complex medical and health care data. It has been widely used to support clinical decisions, improve workflows and predict health outcomes.

In addition, several number of research centers and governments have actively participated in the building of robust AI technologies which are assisting the healthcare professionals to work efficiently even under shortage of resources.

Artificial intelligence (AI) in healthcare sector is intended to considerably change clinicians' roles and everyday practices by accomplishing and analyzing data, make decisions, and conduct discussions. AI application in healthcare is getting progressively sophisticated, efficient, quicker, and at a lower cost.

Pathologists are implementing artificial intelligence (AI) to precisely identify cancer cells amidst healthy cells in a human body. In particular, deep learning-based pattern recognition methods can develop pathology by integrating radiologic, clinical, and genomic data to diagnose diseases and predict patient prognoses accurately.

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