Looking at upcoming trends all around the world and across over industry Artificial Intelligence/Machine Learning (AI/ML) beat the graphs. Generally, first thing which rings into the mind is machine/cyborg assuming control over human components and this has been portrayed to different degree in numerous science fiction movies. While, the fact of the matter is far away from that, it will be unjust to ignore how healthcare is emerging and receiving AI in real life to diminish cost and improve patient outcomes. According to Gartner, most associations are in the beginning stage of AI adoption. Just around 6 percent use it; more than 60 percent associations are yet attempting to get it. It will take some time before the real time advantages of AI can be utilized. Here are the sectors where AI has effectively made a mark or can make any kind of impart later on. 1. Utilizing vision, profound learning on sensor-based indispensible information, doctors will be better prepared to analyze sicknesses. Medical imaging can be taken higher than ever where AI can preciously analyze and, at times, even anticipate diseases. Blood smears will utilize vision to count cells and anomalies. ECG and cardio data can pass through AIto predict results and assist physicians in exact diagnosis. 2. Medical clinic re-affirmation has been a grave concern and millions are squandered because of absence of post-operative consideration. AI can help anticipate circumstances like this and can assist care providers in taking extra precautions. 3. In light of the patient case and required methodologies, AI can help in arranging surgery, help specialists with appropriate measurements, and assist during surgery by following indispensible and other data.AI can enable surgeons understand surgery outcomes better dependent on correlations from similar cases. 4. Utilizing NLP and vision, AI can help specialists with finding, running pharmacy correlations with distinct medications, allergy, and sustenance and so on. AI can assist physicians with transcripts and voice-assisted case the board. All these incorporated with EHR frameworks will get the most elite qualities. 5. Virtual well being aids are kits like chat bots or a conversational service utilizing smart speakers and can help answer health-related inquires, check symptoms, or assist with scheduled time etc. 6. AI can assist medical clinics in better management of assets, emergency management, and progressively productive planning of processes and functions. 7. In the field of telemedicine, AI can bring wonders by enhancing exact remote health monitoring and predictive analysis, prompting to cheaper and viable remote/rural health management. However, the adoption of AI in healthcare, both clinical and insurance, will be moderate and will confront few difficulties like: 1. Ethical worries because of decrease in Hu element: who takes the risk for a negative occasion? 2. Regulation and compliance will play a big role in adaption of AI as they will oversee the process and procedures followed. 3. Initial appropriation both by physicians and patients will see hiccups mostly related to trust factors, till the time both parties build trust in such frameworks. 4. Absence of imperative range of abilities for technology adoption, trailed via trainings of end users. At last, AI or any new-age technology will confront the Iron Triangle of healthcare (access, quality, and cost) test to demonstrate its value. However in an industry that has always lacked skilled manpower to deal everybodys wellbeing, AI can do wonders in times to come.