Profound Learning (DL) is an innovation that repeats the manner in which the human mind’s capabilities with regard to deciphering information and showing up at choices. DL was created by Google and IBM. DL and brain networks have a wide assortment of uses, some of which incorporate discourse acknowledgement, normal language handling (NLP), and PC vision. In the field of medical care, it has been put to use in the determination and therapy of an expansive assortment of constant sicknesses, as well as in the counteraction and the board of such circumstances. These calculations might help with ending the spread of ailment, improving the proficiency with which clinical analyses are made, and diminishing the monetary weight put on patients as well as authoritative staff. This paper examines the technique of profound realizing, which is utilized in an assortment of medical care disciplines, in addition to analyzing the Elliptic Curve Cryptography solution to the healthcare data security problem. Following the completion of the summaries of the data obtained from each category, comparison tables are prepared employing the essential criteria. The frameworks for DL make use of a broad array of applications, tools, techniques, and data sets. DL stands for deep learning. In order to bring this whole thing to a close, we will talk about the opportunities and challenges that lie ahead for further research into profound learning models.