How Artificial Intelligence is Changing Healthcare Right Now


  • How Artificial Intelligence is Applied in Healthcare
  • Top Trends in the Development of AI for Healthcare
  • The Most Promising Areas for Investment in AI and Healthcare
  • Challenges for Application of AI in Healthcare

For most people, AI could sound pretty scary, something out of science fiction movies. Frankly, its goal is quite opposite. And AI is already helping medical professionals find different clues that will answer humanity’s most curious questions.

How Artificial Intelligence is Applied in Healthcare

Prescription management tools

The best thing about AI is that you don’t need to develop a new medication. Just by optimizing of existing products there is a way to improve healthcare. There are already systems that apply the best clinical practices to the existing on-the-ground scenarios and adapt them based on the patient’s data.

According to MarketandMarketers’ report, the AI in the healthcare market is expected to grow from USD 2.1 billion in 2018 to USD 36.1 billion by 2025, at a CAGR of 50.2% during the forecast period.

Health Monitoring & Preventive Care

Moreover, AI gives a way to save lives sometimes months before an illness becomes lethal. You can collect the information about a patient and have computers to process it in the background. This approach can help monitor client stats and trigger alerts, if results get higher than a threshold doctor, has prescribed.

For instance, Cambio Healthcare Systems has developed a clinical decision support system for stroke prevention. It can give a physician a warning when he has a patient at risk of having a stroke. Another example is a company named Cola Life. It has developed a digital device that can inspect the human heart and find cardiac diseases.

Human study & Health Data Processing

Specialization in medicine has already come too far. Even if all the medical professionals in the world try to keep up with the best knowledge, it’s impossible. The amount of data about the human body is already enormous.

In such case the is use AI and Big data processing algorithms are inevitable. It is called to structure and criticize knowledge out of the database of scientific studies. Think of AI as a supplement to the doctor’s brain. It should keep the data, structure, and process it faster. And of course, make alerts when and where the doctor’s attention is needed.

Top Trends in the Development of AI for Healthcare

Digitalization of Health Data

The fundamental thing that is happening right now is the digitalization of medical data. Firstly, we need to make machines understand and process the knowledge we have. And only then we can expect the AI to help us create knowledge.

There is a project made in the Cambridge lab called Inner Eye that shows the potential of Deep Learning and AI in healthcare. The idea of a project is to feed a lot of images of brain tumors and train computer vision to find tumors. The project allows computers to find brain tumors faster and on early stages by analysis of MRI reports.

Simulation of Prescriptions

There is a trend of virtualization of pills. This idea is that you can digitize what you want to take action on. It allows doctors to test their prescriptions virtually. Literally, simulate everything before you take the action.

The other benefit of such virtual pill systems is that you can feed real data back to the machine thus educating it on live data.

Machine Reading Comprehension

The development of the Machine Reading Comprehension (MRC) system is also on the rise these days. As the computer vision advances, developers come to a more real-life problem – like reading doctors’ notes. This trend is expected to turn into working prototypes in late 2019.

Machine Reading Comprehension is also a part of healthcare digitization we’ve talked earlier. The development of such a system has already proved to be real. The prototypes are already there at Stanford University and MIT.

The Most Promising Areas for Investment in AI and Healthcare


As the First World getting older, enterprises are getting more and more interested in new care systems and nursing industry. Something that could reduce costs of eldercare and add value to the existing services.

According to Freedonia Group research, revenues from the elder care market is expected to grow to near $400 billion by the end of 2018. The main driver is the steady retirement of the “baby boom” generation.

For example, Aifloo is developing a system for keeping track of how people are doing in nursing homes. They create devices and software products that assess homecare service, for example in individual homes.

Data Management

In healthcare, we have a lot of manual handling of documents. And, basically, these manual processes have been happening for a very long time even when computers emerge.

So, the simplest spot where the AI could help is to reduce time costs in the use of text technologies and speech technologies. This includes all the paperwork related to insurance, prescription approvement, anamnesis, medical history, etc.

Challenges for Application of AI in Healthcare

AI is not something that is in a distant future, but it’s something that is here right now. It’s really about preventive care, and thereby make people healthier. AI is called to track and monitor health data. It empowers doctors to make decisions faster and get only vital information instead of wasting time on numerous minor indicators.