With a huge inundation of multimodality information, the job of information examination in health informatics has developed quickly somewhat recently. This has additionally incited increasing interests in the age of insightful, information driven models in view of Artificial Intelligence in health informatics. Deep learning, a method with its establishment in counterfeit brain organizations, is arising lately as a strong device for machine learning, promising to reshape the future of computerized reasoning. Fast upgrades in computational power, quick information stockpiling, and parallelization have likewise contributed to the quick take-up of the innovation notwithstanding its prescient power and capacity to create consequently operation significant level elements and semantic translation from the input information. This paper presents an exhaustive up-to-date audit of exploration utilizing deep learning in health informatics, giving a basic examination of the relative legitimacy, also, expected entanglements of the procedure as well as its future standpoint. The paper mostly centers around key utilizations of deep learning in the fields of translational bioinformatics, clinical imaging, unavoidable detecting, clinical informatics, what's more, general health issues.