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MedTech Outlook | Wednesday, May 18, 2022
The existing diagnostic approach does not facilitate advanced healthcare treatment for cardiovascular diseases. Therefore, the medical sector is integrating AI into treatment and is showing an advantageous outcome.
FREMONT, CA: Cardiovascular diseases (CVDs) are one of the leading causes of death globally. It is observed that CVD deaths represent 32% of all global deaths. One of the major issues facing the global medical community is the scarcity of cardiology specialists, along with the increasing fatality of CVDs. By displaying patients' heart functioning, and imaging technologies, the past couple of years have substantially reduced the burden on cardiologists regarding CVD diagnostics. But the improvements in imaging technology are challenged by a lack of sufficient time and enough cardiologists to perform image analysis skills. Additionally, it also requires a specific skill set to analyze the cardiac images using image technology, which takes time to learn.
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AI Plays a Crucial Role in Cardiac Imaging
With the increase in demand for cardiologists skilled in image interpretation, there is a high necessity for the application of artificial intelligence in the field of cardiology. Cardiologists and cardiac radiologists are accommodating artificial intelligence and machine learning into their diagnosis practices. Integrating AI into image reading has enabled automated manual tasks and clinicians to focus on patient care and treatment; decision making; personalized care; alerting emergency conditions; and providing intelligence backup. For example, there is software developed with all cardiac imaging modalities that use AI and are trained on millions of images. This software can be used as an important tool in assisting cardiologists. Therefore, using AI with properly trained datasets ensures safety for doctors, functions as a reliable entity, and provides a second opinion to practitioners, thereby lessening their burden.
Enhancing Access to Quality Care with Cloud-based AI Platforms
Unequal distribution of healthcare resources is another challenge faced by the medical field. Collaborating AI tools with cloud-based computing is cost-effective and extend high-quality healthcare access to rural regions as well. It is an advantageous tool, considering the fact that half of the world’s population has limited access to high-quality diagnostics. It can be used as an intelligent assistant in countries with fewer radiologists as well as in low- and middle-income countries, where three-quarters of all CVD deaths occur. Communities with no access to cardiology specialists can use imaging platforms that are built for remote and secure access.
Training AI Platforms with Globally Recognized Experts
AI health technology tools built on good data and clinically evaluated tools are approached by doctors. Furthermore, AI development teams are working with experts across the world to enhance clinical validations and FDA clearances. Partners from Taiwan are helping to amass information from a myriad of experts from Asia’s healthcare systems. It is paving the way for a new wave of healthcare technology that will save millions of lives and reduce the economy's healthcare spending. The new technology is trying to provide quality medical facilities accessible across the globe, and AI is the pivot for enhancing them.
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