Artificial intelligence in Healthcare is revolutionizing the medical industry by providing a helping hand. AI in healthcare is changing the game with its applications in decision support, object detection, image analysis, solving complex problems, and patient triage. This study discusses how AI technologies such as deep learning, neural networks, and machine learning help in clinical decision making and diagnosing process. It also includes how a complex algorithm is developed using the deep learning and neural networks in making clinical-decisions to be precise and how easily it handles the high dimensional medical data. Similarly, it shows how Machine learning is used in automatic analysis of medical images and identifying diseases at its earlier stage. Various diagnostic studies like radiology, clinical observations like MRI, EEG, ECG, selection of antibiotics, orthopedics, retinal analysis, etc. These studies also illustrate cognitive technology and Nuance which is used to maintain the medical records and perform power diagnosis. The important factor that is required before any diagnosis is the patient history and about the medication what they are undergoing, this can be achieved by maintaining the electronic records (ie)EHR in the cloud using IoT, which can be retrieved at anytime. EHRs play a major role in identification and treatment of cancer and this data can be updated in the learning process of AI as they are updated each time. This study also depicts how smart devices can be used to alert the patient regarding their abnormality. It also discusses about how wearable sensors play a significant role in monitoring the post surgery patients and avoid complications and readmission. It is concluded that AI plays major in all the areas like detection, diagnosis, treatment and also further follow ups.