Even though the majority of us are afraid of AI, it is actually helping us in a lot of ways. By providing assistance, Artificial Intelligence in Healthcare is revolutionizing the medical industry. You can learn more about the positive effects that artificial intelligence has had on the healthcare industry by reading this blog.

Since its introduction in the 1950s, artificial intelligence has affected marketing, finance, the gaming industry, and even the musical arts. However, AI will have the greatest impact in the healthcare industry. AI will have the greatest impact on the global economy, adding $15.7 trillion by 2030, according to the most recent PwC report.

In the following section, you will learn how AI is being used to solve real-world use cases.

AI in Medical data management

Data Management Using Artificial Intelligence Cognitive technology is being used by healthcare organizations to sort through a large number of medical records and conduct power diagnostics. Take, for instance, Nuance, a prediction service provider that forecasts user intentions using AI and machine learning.

A personalized user experience that enables a business to take better actions that enhance the customer experience and ultimately benefits the business can be created by incorporating Nuance into an organization's workflow.

Nuance has the following key features:

Enhanced service: Suggest the best next step to take to satisfy the customer's requirements.

Deflective calling: By anticipating the customers' intentions and directing them to other online activities, you can cut costs and reduce the volume of inbound calls.

Reduction of churn: Predicting the behavior of leads who may be close to invalidating their service based on their history, searches, and sentiments, among other factors, and taking the appropriate action to prevent such service cancellations using Machine Learning and Natural Language Processing techniques Implementing an automated system that notifies users via SMS or email and makes use of AI-based chatbots to simplify the process eliminates the tedious task of calling them.

Let's now talk about how Deep Learning methods are being used by AI to improve medical diagnosis.

AI in Medical diagnosis

"Medical imaging and diagnosis powered by AI should witness over 40 percent growth to exceed USD 2.5 billion by 2024," according to the report. Insights into the global market Through the use of deep learning models and neural networks, artificial intelligence is reshaping the medical field of image diagnosis. By taking over, it has made the difficult analysis of MRI scans simpler.

MRI scans are difficult to analyze because they contain so much information. A typical MRI analysis takes several hours, and when researchers attempt to draw conclusions from large data sets, they must wait hours for a computer to produce the scans.

A group of researchers at MIT used neural networks to analyze substantial and intricate data sets. On approximately 7000 MRI scans, they trained a neural network called VoxelMorph.

AI in early detection

Artificial intelligence has greatly aided in the early detection of medical conditions like heart attacks. To keep an eye on a person's health and notify them of any unusual or unlikely events, numerous AI-based wearable health trackers have been developed. Fitbit, Apple Watch, and numerous others are examples of such wearables.

The motto of the most recent Apple watch is "Precaution is always better than cure."

Apple created a watch that keeps track of a person's health using artificial intelligence.

A person's heart rate, sleep cycle, breathing rate, activity level, blood pressure, and other data are all gathered by this watch. and keeps a record of these actions at all times.

Using Machine Learning and Deep Learning algorithms, this data is processed and analyzed to create a model that predicts the risk of a heart attack.