Better & faster diagnostic methods in Heart Diseases with Machine Learning

The world is going through troubling times and whilst analysts say these are bad times, humanity is fighting the global sanitary crisis with stoicism. Governments as well as people do the best they can so that the world can go back to the way it was before the crisis.

Modern society has made advances in the healthcare field in the past years which allowed telemedicine possible. Emerging technologies such as AI, Machine Learning and Robots have made surgeries and medical interventions go beyond traditional borders.

A survey conducted by Intel in April 2018 and then in July 2020, shows that out of 200 senior decision-makers, 45% of them implied that their company deployed AI technology before the 2020 pandemic. However, in 2020, that number swelled to 84% which is a massive increase in healthcare AI-related expenditures.

The upward trend in both heart diseases, as well as AI use, is noticeable. Companies focus their research on making AI easily accessible and available for all. For example, wearable AI technology aims to develop a mechanism by which patients and doctors could easily access and monitor cardiac activity remotely. This ensures real-time updates, monitoring, and evaluation. In addition to this, AI will also power the recording and validation of data to further analyze symptomatology and treatment effectiveness.

Heart diseases worldwide and AI

According to numerous reports from the World Health Organization, Centres for Disease Control and Prevention, and the Heart Organization, heart diseases are the number 1 cause of death globally. Most of these diseases happen prematurely, due to unhealthy risk factors such as smoking, as well as socio-economic factors. Annually, more than 17.9 million people die from it and the trend is on the rise.

Given the technological advancements in recent years, and the global sanitary crisis, one might wonder, how does technology help fight this battle. Numerous companies have already developed AI, Machine Learning, and Robots to not only diagnose heart diseases but also to perform long-distance surgeries on patients.

The technology, however, is far from perfect and the widespread adoption is still incipient. AI and Machine Learning capabilities are powered by complex algorithms. This need allows for more data interpretation, but with less accountability for external factors which can determine a proper diagnosis. Despite this, numerous clinical trials from all over the world show that AI and Machine Learning can successfully help medical doctors accurately diagnose patients who are suspect of heart diseases. Furthermore, the current technology comes in aid as machines have more computing power and can analyze significantly more data than humans, with little errors. Moreover, AI and ML technologies can be fed information from hundreds of thousands of patients and the computers can not only diagnose the implied heart diseases but can also spot differences that are beyond human perception.

Advantages of using AI in the detection and prevention of Heart Diseases

The data shows that AI is on the rise, in many business sectors, including healthcare. With 20% of patients currently misdiagnosed, AI presents the advantage of having the data needed to lower that percentage and improve diagnosis outcomes, leaving medical doctors more time to set up a plan for further patient care.

Moreover, having so much information, AI can classify diseases accurately. This, in turn, helps both patients and doctors diagnose a disease and apply, with the help of AI, proper treatment with low-to-no side effects that will improve the patients’ health. In addition to this, AI can not only diagnose and prevent a patient from a costly treatment but also create and recommend new drugs for heart diseases.

Using AI in modern medicine allows for doctors to treat patients from a distance, thus cutting down costs and lessening the pressure on the healthcare system. With less hospital time, both medical institutions and patients can save money. According to an Accenture study, by 2026, AI applications in the healthcare industry will have the potential to create $150 billion in savings.

While there is clearly room for improvement and development in AI and how it influences the healthcare sector, there are some limitations as to what it can do and some lesser-known things that this technology entitles.

Disadvantages of using AI in the detection and prevention of Heart Diseases

The healthcare industry presents both opportunities and threats in regard to AI. The first major disadvantage is cost. While AI and Machine Learning technologies can save money for both patients and medical institutions in the short term, the costs for implementing such technology are high up-front. In addition to this, adoption might not be as fast as expected, as investors in this technology need to have sufficient successful clinical trials, data and use cases to efficiently employ AI and Machine Learning.

The second major drawback of implementing AI in the healthcare sector is data privacy. Medical records of patients are confidential information and with the increased regulatory laws surrounding this issue, it’s hard for organizations to keep up with them all. Moreover, the logic behind all the conclusions drawn up by AI technology is not justified and is subject to creator bias. Without a proper understanding of the human complexities, an algorithm can be seen as unreliable or untrustworthy.

The final and major drawback of AI is that at the end of the day, human beings have broader general intelligence than AI, which tends to have a much narrower, more task-specific focus. And while humans create the technology, not the other way around, it’s pretty clear that it will take a long time for AI to reach its full potential when implemented in the health sector.

Conclusion

AI and Machine Learning technologies are on the rise and have seen a massive increase in usage in different sectors. When it comes to heart diseases and the more general healthcare industry, as illustrated above, there are both opportunities and threats in regard to AI usage. This means that while technology can prove its efficacy, it has a long way to prove itself in detecting and preventing health problems.

Machine Learning and Data Science are, and will be at the forefront of this transformation. With its wide range of services in these fields, Strongbytes is constantly looking to innovate and inform on how to build scalable and responsive applications.

Even if the future is still uncertain, Strongbytes offers a full range of services that helps businesses identify possible use cases for emerging technologies such as AI and Machine Learning in assisting heart disease diagnosis. In addition to this, Strongbytes offers the due diligence of carrying out the software development process to make that happen. By doing so, Strongbytes aims to become your trusted digital partner in your journey towards heart disease diagnosis using the latest technologies.