Artificial Intelligence (AI) is getting increasingly sophisticated day by day in its application, with enhanced efficiency and speed at a lower cost. Every single sector has been reaping benefits from AI in recent times. The Healthcare industry is no exception. Here is decoding the future trajectory of healthcare with AI.

The impact of artificial intelligence in the healthcare industry through machine learning (ML) and natural language processing (NLP) is transforming care delivery. Additionally, patients are expected to gain relatively high access to their health-related information than before through various applications such as smart wearable devices and mobile electronic medical records (EMR).

With a huge amount of accurate data from these devices, AI will help facilitate actionable optimizing care and promote personalized healthcare.

The personalized healthcare will authorize patients to take the wheel of their well-being, facilitate high-end healthcare, and promote better patient-provider communication to underprivileged areas.

Major players in the market are diving in headfirst to become a part of an on-going transformation in the industry.

For instance, IBM Watson for Health is helping healthcare organizations to apply cognitive technology to provide a vast amount of power diagnosis and health-related information.

In addition, Google’s DeepMind Health is collaborating with researchers, clinicians, and patients in order to solve real-world healthcare problems. Additionally, the company has combined systems neuroscience with machine learning to develop strong general-purpose learning algorithms within neural networks to mimic the human brain.

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Originally posted by:

Abhishek Budholiya

www.readwrite.com

March 15th, 2020