The healthcare system is among the most advanced systems present across the world today. Many health conditions that seemed incurable in the past can be treated today. With all these advancements and technological advantages, healthcare experts are saving millions of lives every year. However, not everything is as flawless as it looks; the same goes for healthcare.

Through years, the demands of transformative healthcare solutions have increased. There might be incidents of misdiagnosis that may incur unnecessary costs in the form of additional tests and further treatment procedures. The only way to combat these issues is by relying on more efficient technologies. Artificial intelligence and machine learning can bring change. These technologies combined can minimize errors and improve results. 

Many healthcare professionals are already trying to transform existing practices by implementing AI and Machine learning. Their algorithms are making tasks easier and more efficient as compared to human efforts. They offer more reliable results when it comes to diagnosing disease, suggesting treatment, and ensuring better health and safety for all. IT-based healthcare solutions have created significant impacts on consumers.

In recent years, healthcare has become an important field for experimenting with AI and finding new opportunities using this technology. There are several ways in which AI can dominate the industry:

  • Using Wearables To Monitor Health

Wearables like fitness watches are among the hottest items that people love to buy these days. And, why not? They look ultra-stylish and help you go with the trend. However, that’s not the only thing they do. They come with sensors and monitor some important data about your health. These devices are equipped with amazing features like step tracker, heartbeat monitor, and more. 

Artificial intelligence can be used to take things further and find actionable insights from the collected data. These devices come with features to be connected to smartphones. More apps can be built to enhance the process and use that data for improving health.

  • AI-based Radiology Tools

With existing radiology systems like x-rays, MRI machines, and CT scanners, it is possible to have a look at the inner parts of the human body. This non-invasive visibility helps detect the problem in a certain part of the body and offer suitable treatment. However, not all procedures are non-invasive. Some still require physical tissue samples which invite the risks of infections. 

Artificial intelligence will minimize these requirements by enabling advanced radiology tools that won’t rely on samples, thereby minimizing the chances of infections to a great extent.

  • Predictive Analysis

With constant innovations and rapid changes in the healthcare industry, AI can be used for developing tools that can make early predictions for serious health conditions like seizures. 

Machine learning can also help make clinical decisions about patients. For instance, for a patient who has entered a coma following a cardiac arrest, it is a draining, time-consuming process to manually inspect the EEG data and decide whether to offer further treatment or not. With machine learning, it can be done quickly and accurately.

  • Selfies As Diagnostic Tools

Just like wearables, your smartphone also contains a pool of data that you wouldn’t have imagined can be used to diagnose your health. Experts believe that selfies taken from front cameras can be the next big thing when it comes to identifying and diagnosing health problems. 

For instance, images of eyes, wounds, and skin lesions can be used to identify the condition and offer the treatment without needing to visit a clinic. Many brands have already started using AI to improve picture quality and beautify selfies. Now, it’s high time to use the same feature for one’s well-being.

  • Turning EHRs Into Risk Predictors

Electronic health records contain lots of data that needs to be thoroughly analyzed as it can help eliminate and combat possible future health risks. However, it is not practically possible to manage and study this data in an accurate and timely manner by healthcare experts. A dedicated system is required for the purpose that can perform the task more reliably, leaving no chances or errors.

Such a system can be developed using artificial intelligence. While humans might not be able to handle a large pool of data, AI-based systems can do it more accurately and efficiently. If we look at the core reason, the biggest challenge is to integrate the unstructured data. This data may be available in multiple different formats which makes the task even more difficult. AI can help manage this data and predict risks, thereby protecting patients against several risks. 

  • Brain-Computer Interfaces

Computers are usually used for communication across a network. The next big innovation can be a Brain-Computer interface that connects the human mind with a computer without using a mouse or keyboard. Many neurological conditions take away the patient’s ability to speak and interact. Such an AI-based interface can help restore those functions that are essential for survival.

Brain-Computer interfaces can help patients dealing with strokes, ALS, or spinal cord injuries. They can restore their ability to move and speak. In this way, AI can improve the quality of life for people living with a fear of never being able to communicate again.

  • Advanced Pathological Analytics

Pathology tests are among the most popular means of diagnosing diseases. They contribute to around 70% of total clinical decisions. However, not all the nuances can be detected by human eyes. 

AI can be used to analyze pathology images to the pixel level which is not possible to do manually. Furthermore, it can direct us to the right things and improve results.

Wrapping Up

Many are working hard to transform the conventional healthcare process with the help of AI, machine learning and other technologies that find wide applications in the healthcare industry. Many industry leaders are acknowledging their potential and have stepped into the market with AI-based healthcare products and services. These names include Microsoft and IBM with a few other companies that are keen to use artificial intelligence to make the healthcare system more reliable. If you belong to the industry and want a mobile app for your clinic or hospital, you can reach a healthcare app development company and seek assistance.

If there is something that this industry has in plenty, it is data. And, that’s what machine learning requires to work efficiently. Due to different storage solutions and privacy concerns, a large amount of data is yet to be utilized which can bring tremendous changes. This data can be analyzed and used for improving the healthcare systems and making diagnosis and treatment procedures more efficient. 

As of now, artificial intelligence and machine learning are more involved in identifying and diagnosing diseases. They can transform the ongoing healthcare practices and bring more accuracy and reliability to the processes. There are many smartphone apps available that can monitor conditions like blood pressure, newborn jaundice, haemoglobin levels, and more. 

The healthcare industry is among the most complex industries that witness lots of changes and disruptions in terms of technology and other resources involved. Right now, we are living with a pandemic that has made people even more aware of their health. Health is wealth, they say; but this time has made us understand its true meaning.