A broad spectrum of intelligent technologies like Artificial Intelligence has managed to penetrate into different industries in this information and technology-oriented era.
Healthcare is no exception. It is witnessing the rapid integration of AI over a couple of years.
According to a CB Insights Report, 86% of the life science companies, healthcare providers, and technology vendors are relying on Artificial Intelligence technologies.
Also, different industries that are either directly or indirectly related to healthcare are evolving and all the credit goes to AI & automation.
The same report further claims that healthcare systems will be spending $54 million on average, on different AI projects.
The Exponential Rise of AI Solutions in Healthcare
AI in healthcare is helping frontline clinicians to become more productive and efficient.
The solutions are also ensuring that backend processes are highly effective. As per the data-driven by the Global Market Insights, the AI market (healthcare) is expecting a tenfold and major boom by 2025. It will become an enormous $13 billion industry.
One major use of AI in Healthcare industry is, AI simplifies the lives of the healthcare department personals by performing tasks that are performed by humans but in less time.
Top Applications in the Healthcare Industry
Healthcare has a countless number of applications ranging from discovering links between genetic codes to powering surgical robots.
Reinventing and via machines that know how to predict, comprehend, learn, and act. All in all, AI has proved to be a blessing to the healthcare industry.
As innovation continues to flourish, automation is providing tremendous benefits.
Besides offering a specialist solution that saves time and cost in the treatment processes, there are applications that help to increase the accuracy of treatments.
Here are the top AI-based applications trending in the healthcare market:
AI Healthcare Solutions for Doctors
Doctors are being benefited by the AI solutions as it is helping in improving performance and experience.
For example, it analyzes the data and applies AI machine learning to give decision support while improving diagnostics.
Two AI-based applications that fall in this category are as follows:
- Diagnostic Imaging Interpretation
The complexities of deciphering images and conducting analysis resulting in efficient AI-based applications.With deep learning programs and technology categorization, AI-based imaging systems are equipped with algorithms having quick image reading. This further includes MRIs and CT scans. The system not only helps a doctor to improve performance with better diagnostics but it also proves to be a vital tool in combating the shortage of radiologists in the hospital.
One of the popular AI-based diagnosis checkers Buoy Health uses an algorithm that helps in treating the illness.
Here is how it works: The chatbot understands the symptoms of the patient and the health concerns. Then it guides him towards required care as per the diagnosis.
- Precision
A new approach followed by doctors focuses on preventive care relying on data collection. This ranges from collecting genetic information, wearable devices, and advances in the electronic healthcare system. Fitbit, Apple, Garmin, etc. efficiently monitor heart rate and activity levels. They can send alerts to the patient regarding exercise and medicine dosage.
The best AI solution obtains information from mutation genetics and DNA.
This makes it easier for the system to scan, thereby detecting cancer and vascular diseases in advance. It also helps in predicting the health risks patients may face in the near future.
Closely analyzing the patient’s lifestyle, environment, and biometric data, AI-based precision health tools identify potential risks.
The aforementioned examples have made it very clear that artificial intelligence is making life easier for medical providers.
And there is no looking back as it will continue to do so as the apps are developed and iterated in new areas.
AI Solution for Patients
The Healthcare industry is focusing on the patient’s experience and engagement with artificial general intelligence.
With AI-enabled interfaces, patients have taken control over their care solutions.
AI best practices in healthcare industries regarding patient’s solution are defined below:
- Virtual Health Assistant
Artificial Intelligence companies have introduced virtual health assistants using augmented reality, cognitive computing, speech, and body gestures. The application has the ability to deliver a personalized experience where patients are free to clear their doubts and learn how to manage their health efficiently. A virtual health assistant is a unique technique that is able to reduce frequent hospital visits reducing the load from medical professionals.
In addition to this, they serve as a bridge between the service providers and patients.
- Customer Service Bots
Utilizing natural langu