The ongoing development currently being witnessed in the technology sector has allowed it to merge perfectly with medicine.
This move is intended to establish new, reliable, efficient and integrated techniques of delivering quality health care. In fact, one of the notable trends includes the suggested use of AI in extending and enhancing a cardiologist’s effectiveness.
Although cardiology is a broad field that deals with numerous diseases, it mainly focuses on both the circulatory system and the heart.
For this reason, similar diagnostic features and symptomatologies may be available in an individual, which may impede the ability of a doctor to identify the particular heart-associated issue easily.
As such, the utilization of artificial intelligence is intended to relieve physicians from such a challenge and deliver better quality healthcare to patients.
Even though artificial intelligence is yet to be broadly utilized in clinical practice, it is often viewed as the future of the healthcare sector.
The reason for this is that machine learning or AI can allow for a precise measure of patient diagnosis and functioning from the start to the close of the therapeutic process.
Specifically, the use of AI in cardiology is to concentrate on population health, research and development and clinical practice.
Also, the function of this technology also extends to other functions such as continuous remote monitoring and diagnostics, disease stratification or statistics, identification of novel drug therapies, the extension of doctor efficiency and integration of multi-omic data.
The study of heart disease patients conducted by Dawes and his associates, which was published back in 2017, is a perfect example of the use of artificial intelligence (AI) examination in cardiology.
The researchers used cardiac MRI-based algorithms accompanied by a 3D systolic cardiac motion pattern in a bid to precisely forecast the health results of patients suffering from pulmonary hypertension.
The key problem affecting the use of artificial intelligence in the cardiology field or other medical related areas is mainly its associated ethical issues.
Before joining the practice, healthcare professionals and physicians have to pledge the Hippocratic Oath, which is a promise to do all they can for the betterment and welfare of their patients.
Nevertheless, most physicians have argued that using artificial intelligence in medicine breaks the oath, as patients are technically left under a machine’s care as opposed to a doctor.
Another issue is the risk of machines malfunctioning. With that, medical experts are significantly constricted about its appropriateness, safety and use in the medical space.
Current researchers trying to make AI easily available and accessible for all are overpowering the challenges affecting technological innovations.
Furthermore, there’s the use of technology in recording and validating empirical data in a bid to assess biomarkers, treatment effectiveness, and symptomatology further.
Thanks to AI technology, cardiology researchers intend to expand and simplify the scope of knowledge on the particular field for better treatment results and patient care.