• Dr. Deepa A
• Fathima Shahana

Artificial intelligence (AI), which has gained popularity and been incorporated into every industry, has produced benefits that have boosted production and helped us solve challenging problems. Deep learning (DL) is a branch of AI that was created to simulate the human brain. It allows a computer to carry out tasks that people would naturally do. It is a technology that is frequently employed to arrange unsupervised or unlabeled data and discover patterns within them. The healthcare sector is unique compared to other sectors. People expect the highest caliber of care and services in this high-priority sector, regardless of their ability to pay for them. Typically, a medical professional is responsible for interpreting medical data. Because of its subjectivity, the complexity of the disease itself, and the wide range of possible interpretations, a human expert's ability to provide a medical diagnosis is severely constrained. As a result of DL's use in medical drug development, medical imaging, genome synthesis, disease detection, and other areas, the field of medical science has been significantly impacted and it is now offering innovative solutions with high precision for medical diagnostics and is seen as a crucial technique for upcoming applications in the healthcare industry. The processing and type of data used in the models have substantially accelerated the progress of DL in this industry. The success rate of a DL model can be significantly impacted by concentrating on the type of data—preexisting or curated—in a dataset. DL is employed to identify conditions such as skin blemishes, neurological disorders, and chronic illnesses. It also discusses various deep learning techniques and their diagnosing methods to understand how DL is used in disease diagnosis and how it has evolved into one of the most effective methods for disease diagnosis. We provide some future research topics that could be used to guide additional studies based on the summary.

Medical, Diagnosis, Deep Learning, Artificial Intelligence

"Iatrical Diagnosis Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.b165-b173, March-2023, Available :http://www.jetir.org/papers/JETIR2303119.pdf

"Iatrical Diagnosis Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppb165-b173, March-2023, Available at : http://www.jetir.org/papers/JETIR2303119.pdf