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AI Machine Learning

Artificial Intelligence to Solve The Healthcare Issues?

Your future doctor might not be human. And your Healthcare costs may become incredibly affordable in the years to come. Artificial Intelligence and machine learning are transforming health and medicine and helping to make faster and more precise diagnosis.

Thanks to advanced algorithms based on historical patient data and the latest breakthroughs in medical technology, artificial intelligence applications are slowly but surely becoming better at diagnosing patients and preventing diseases than doctors.

What does this mean for healthcare? There are two areas in which AI and machine learning are having the most impact – speed and accuracy. Add in the potential for enormous cost savings, and you’ll see why both medical professionals and consumers are getting all hyped up on AI when it comes to its role in disrupting the healthcare industry.

Streamline communication between patients and physicians

Physicians don’t just provide care when you’re sick. They can also offer advice to help patients live healthier lifestyles.

Of course, few people have the time to visit their doctor every time they have a question about their wellness. Luckily, AI is solving the problem. Case in point is Doc.ai, a new product that allows users to input key information such as their gender, age, and weight. It also lets them include a list of medications they take. When connected to a Fitbit or other wearables, the app has even more data for managing customers’ health conditions and treatments.

The result is a detailed file on your overall wellness. Patients will be able to “converse” with an AI doctor, asking questions like “How can I lower my cholesterol?” The app generates answers based on the information on file. If the AI doctor, or agent, cannot answer the patient’s question they can determine whether they need a human physician.

That’s just the tip of the iceberg. Doc.ai’s creators also plan to release products that will interpret blood tests and other lab results for both patients and physicians. This is another way AI will reduce the amount of time it takes for patients to receive treatment. With too few doctors available to evaluate lab results quickly, it helps to have a technology on hand that can reduce the workload.

Virtual Health Assistants
Despite the massive advancements in healthcare over the years, there is still a significant gap between patients and doctors that can only be bridged through intelligent applications. Virtual Healthcare Assistants (VHA) are like your own personal doctors to help you monitor and maintain your health on an ongoing basis – anywhere, anytime. These AI-driven applications are programmed to not only check and diagnose health problems but also to remind you of prescribed medications and warn you about possible health problems. Virtual Assistants use a vast data network to identify symptoms and Natural Language Generation to provide a fluid engagement experience for the patients.

Decision Making

Improving care requires the alignment of big health data with appropriate and timely decisions, and predictive analytics can support clinical decision-making and actions as well as prioritise administrative tasks. Using pattern recognition to identify patients at risk of developing a condition – or seeing it deteriorate due to lifestyle, environmental, genomic, or other factors – is another area where AI is beginning to take hold in healthcare.

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