How Artificial Intelligence (AI) Helps in Cardiovascular Medicine
There is no denying that there have been some monumental changes in the world of healthcare in recent times. Technology has progressed at a rapid pace, and we’re seeing the benefits of this in many different medical specialisms, with cardiovascular medicine included. In this post, we will look at how is AI used in cardiology? Could AI replace a cardiologist or is it used to supplement the work they do? Continue reading to discover everything you need to know.
How AI in healthcare is bringing about changes
AI in healthcare can boost the efficiency and productivity of care delivery and enable healthcare systems to provide better and more care for people. It can also enhance the experience for healthcare professionals, as they can spend more time in direct patient care, therefore, reducing burnout.
Pros of AI in healthcare
• Streamline tasks
• Enjoy real-time data
• Reduce physician stress
• Assists research
• Saves resources and times
Cons of AI in healthcare
• There are worries it could lead to unemployment
• May overlook social variables
• Needs human surveillance
• Susceptible to security risks
• Inaccuracies are still possible
How is AI used in cardiology?
There are many different ways that AI is being used in cardiology. For example, it is being used to detect heart disease. In a study carried out by Mayo Clinic, AI techniques were applied to a new screening tool for left ventricular dysfunction in people without noticeable symptoms. The tool identified 93 percent of individuals at risk of left ventricular dysfunction. At present, a mammogram has an 85 percent accuracy, so you can see that AI can really provide a difference here.
These technologies complement the knowledge of doctors. Ideally, by bringing together direct care and data analysis, AI cardiology allows doctors to spend more time with their patients and improves the shared decision-making process.
We’re also seeing advances in predicting sudden cardiac death. In a study published by Johns Hopkins University in Maryland, researchers have stated that AI can be used to revolutionize how clinical decisions are made in cardiology and be able to detect if and when a person may suffer a fatal cardiac arrest. Naturally, this would result in better, earlier medical intervention.
5 ways AI helps in cardiology-related issues
There are a number of ways AI can help with cardiology issues, including the following:
1. Process and respond to data quickly for improved treatment outcomes
2. Detect someone’s risk level of suffering from a cardiac arrest or any other form of heart disease
3. Provide intraprocedural guidance through intravascular imaging, ensuring the operator has more information to carry out a procedure effectively
4. Deep learning AI will assist in providing personalized medicine for patients with complex medical problems
5. Perform automatic measurements before a physician starts reading the case
How to find the best heart doctor
A lot of people wonder could AI replace a cardiologist. It is unlikely that we will ever see the day whereby the healthcare industry is fully automated and computerized. After all, human observance is key to ensuring that conditions are accurately diagnosed. Therefore, AI should be viewed as a beneficial tool for heart doctors, rather than a replacement.
As a consequence, finding a quality doctor is just as important as it ever has been, and this is something Doc360° can assist with. All you need to do is enter the type of doctor you are looking for and your location. We will present you with the most accurate results, and you can see a rating for each doctor, which is unbiased and gathered via multiple online sources to ensure the most genuine scoring system.
The future of AI in cardiovascular medicine
We hope that you now have a better understanding of how AI is used in cardiology. There is no denying that technological advances are aiding disease detection, risk assesment, and ensuring healthcare professionals can provide a more efficient service. There is still a long way to go but the future certainly looks bright in this area.
