The evolution of lifestyle had eventually turned down the hale and health statement of humans. This led to the gradual upsurge of various diseases in humans irrespective of their age. On the other hand, innumerous healthcare data generated from the wide range of medical sectors challenged the human brains. To combat those human setbacks in data handling there arose the revolutionary solution through machines using mathematical algorithm entitled as Artificial Intelligence (AI). The employment of Artificial Intelligence is traced in medicine pipeline commencing from diagnosis of disease until treatment. AI registered its pivotal role in clinical section by processing (diagnosis, image processing, drug discovery, digital pathology, oncology, mutation identifications) such huge data using algorithm. One of the major subset of AI is Machine Learning (ML), which competes with the humans cognitive skills using higher order algorithms comprising of Artificial Neural Network (ANN). The complicated nature behind the diseases like cancer, diabetes, cardiology, neurological and psychological disorders can also be unveiled with the assist of AI. The processing of healthcare related database executed by AI provides data with high accuracy and clarity. Overall, human intelligence assess their vast health database requirements using the Artificial Intelligence.

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