Deep Learning is a key technology in the rapidly developing area of artificial intelligence, transforming the way that machines understand, learn, and interact with complex material. In artificial intelligence (AI), deep learning is a technique that trains machines to interpret information in a manner equivalent to the human brain. They are used in a wide range of fields, including computer vision, natural language processing, healthcare diagnostics, and autonomous driving. This work discusses its uses in healthcare. Deep learning techniques such as convolutional neural networks (CNNs) can assist in the classification of cancers through medical imaging and identify possible COVID cases, recurrent neural networks (RNNs) and long short-term memory (LSTM) use the idea of time series for prediction and can help in the detection of Parkinson’s disease at early stages. Meanwhile some emerging techniques like federated Learning enhances data privacy due to its decentralized approach and Vision Transformers with inbuilt self-attention phenomenon have been an alternative to CNNs in computer vision tasks.