The Impact of Artificial Intelligence on Healthcare

Artificial intelligence in healthcare?!

That’s right!

AI in healthcare is no longer a concept of the future, but a reality.

Just as in our day-to-day lives, it is increasingly becoming a part of healthcare.

Right from diagnosis to end-of-life care, artificial intelligence has already begun revolutionizing the field.

In this blog post, you’ll learn more about the impact of AI on the healthcare industry, its applications, as well as what the future holds.

Let’s begin!

Latest Trends in the Healthcare AI Market

Artificial intelligence in healthcare is growing rapidly.

Here are a few statistics.

Research shows that the AI in the healthcare market is projected to grow from $1 billion to 28 billion^[i] in value, over the period 2016-2025.

In addition to this, it is estimated that AI applications have the potential to reduce healthcare costs in the US by $150 billion^[ii] in 2026.

Clearly, artificial intelligence can transform healthcare.

The Impact of Artificial Intelligence on Healthcare

AI can help people stay healthy so that they don’t need to visit a doctor, or not as often as they usually do.

Combined with the Internet of Medical Things (IoMT), it is already benefiting people through consumer health applications.

These apps encourage individuals to adopt and adapt to healthier lifestyles.

In essence, they put people in control of their health.

Let’s look at seven ways in which AI is transforming healthcare.

Early Detection

Healthcare professionals are using artificial intelligence to accurately detect diseases before they become acute.

Did you know that AI is facilitating the review of mammograms 30 times faster with nearly 100% accuracy, preventing biopsies required to detect cancer in women.

Caregivers are now able to better detect and treat life-threatening cases at treatable stages with the help of wearables and other medical devices.

Diagnosis

IBM’s Watson for Health is enabling healthcare organizations to conduct diagnosis on the basis of large amounts of unlocked health data.

This means that Watson is able to review and store medical information faster than any human.

In addition to this, Google’s DeepMind Health is combining machine learning and systems neuroscience to build algorithms into neural networks resembling the human brain.

Making Decisions

In order to improve the quality of care, you need to make effective and timely decisions on the basis of health data.

With predictive analytics, you can prioritize tasks and get support for clinical decision-making.

For instance, pattern recognition is enabling caregivers to identify patients at risk of developing a specific condition.

Treatment

Artificial intelligence is also enabling providers to identify patients who are at risk of adverse episodes, by scanning health records.

In addition to this, it is helping caregivers build a holistic approach to disease management, and enabling patients to comply with treatment programs.

Furthermore, complex surgical robots are helping surgeons and carrying out operations.

End-of-Life Care

Humans are now living longer than previous generations, and are therefore dying due to different conditions.

With the potential to transform end-of-life care, robots can reduce hospitalization by enabling people to remain independent for longer.

AI is even enabling robots to have social interactions with people in order to maintain the sharpness of aging minds.

Research

The road from the research laboratory to the patient is lengthy and costly.

Did you know that it will cost a company $359 million to develop a new drug from research and development at the lab to the time it reaches the patient?

Artificial intelligence has the capability to cut costs as well as the time-to-market for new drugs by streamlining drug discovery and repurposing.

Training

With AI, you can train students to undergo naturalistic simulations that are otherwise limited by computer-driven algorithms.

The training program can also learn from previous responses in order to adjust challenges according to trainee learning needs.

In addition to this, training can be done on a smartphone, in a quick catch-up session, or even while traveling.

Wrapping Up

In this blog post, you learned more about the impact of artificial intelligence on healthcare, its applications, as well as what the future holds.

With artificial intelligence, the possibilities to transform healthcare are really endless!

Tap Into the Power of Artificial intelligence For Healthcare

References

[i] Global Healthcare Artificial Intelligence Market Size, 2017 & 2025

[ii] The Rise of Artificial Intelligence in Healthcare Operations