Artificial intelligence in Precision Cardiovascular Medicine
Enhancing cardiovascular medicine through artificial intelligence for proven results of treatment of the patient.
In brief:
let’s analyze the “art” in the artificial intelligence system in the field of cardiology which empowers us with the art of the cardiologist to analyze the case with proper diagnosis and interpretation of clinical symptoms and the classic way of investigations. Can we differentiate the acquired learning and experienced skill of the cardiologist and the emerging artificial intelligence in cardiovascular patients? It is emerging as an integrated system of medicine. Artificial Intelligence is a great source and element in the field of cardiology. The cardiologist must understand the capability and potential uses of Artificial intelligence to use it. Now it’s important to correctly interpret symptoms and then send the patient for imaging as and when required at every step to get a possible outcome on which the results vary. However the experience of the practice of medicine in real-world has taught has that the objective and subjective evidence are always available, assimilation of knowledge takes time and decision regarding each patient may not always be objective.[1]
Decision making is imperative in the field of medicine and its conventional line of treatment. There are various decisions with options available to reach the outcome of the disease. The incorporation of artificial intelligence tools in the field of cardiology into daily decision making will most likely improve care. Of course, it is, however, necessary that cardiologist must retain the last step of control of the system, keep an eye on the decision is the important factor in the field of medicine. Artificial intelligence is the intelligence exhibited by machine, in contrast with natural intelligence displayed by humans. The incorporation of both would help in executing the solution by following the protocol. AI techniques in cardiology such as machine learning, deep learning and cognitive computing may play a critical role in the evolution of cardiology to facilitate precision cardiovascular medicine. To deal with big data certainly need these techniques.
In cardiovascular medicine three important aspects need to be taken care of :
Functional cardiology such as echocardiograms, electrocardiography, haemodynamics and imaging data.Medical records including patient electronic medical records containing laboratory test result, physician notes and other information on disease treatment and epidemiology that may be mined for association studies and predictive interpretation on prognosis and drug responses.
Literature Knowledge: It is estimated that in cardiovascular medicine there is a new invention every day with the possibility of achieving cure especially in complicated cases
Most cardiologist today are more likely to associate the term Artificial intelligence with a futuristic phenomenon rather than with a tool that is just about to conquer medicine including cardiovascular medicine. The term machine learning represents various techniques for solving complicated problems with big data by identification interaction patterns among variables. Machine learning is focused on building automated clinical decision system that helps doctors for more accurate predictions rather than an estimated system of work.
A good intervention in the field of cardiology is must treat chronic cases of heart which deals with structural and pathological cases for which medical imaging is of prime importance to analyze the internal structure of the heart and the blood flow especially when the valves are affected. A good example can be given of patient who comes with chest pain a symptom of angina which might be caused due to blockage of artery of the heart and which can be treated with surgery or pharmacological intervention.
Artificial intelligence in the field of cardiac imaging
Artificial Intelligence will have a role to aid and derive at the conclusion in the field of cardiology. It’s important to introduce elements of cardiology into cardiac echo system. Artificial Intelligence tools such as machine learning, deep learning and cognitive computing are promising and they will change how cardiology is practised especially in the cardiac imaging field. However, physicians need to be prepared in the upcoming era and the clear results of the utility of AI within the daily practice are essential. Its believed that Artificial Intelligence will not replace cardiologist but it is important that cardiologist know how to use AI sufficiently to generate their clinical intelligence and mark the evolution of the spectrum of heart disorders through artificial intelligence(AI)applications in daily practice to bring on the era of precision cardiovascular medicine.
Driven by recent development in computational power, Machine learning-based artificial Intelligence has quickly gained solution for many technological challenges. Artificial Intelligence becomes very popular in technological advancement in the field of cardiology. It mimics the human brain in the field of cardiology but cannot replace it as the course of treatment and the options available for the same is to be decided by the cardiologist and the patient. Artificial intelligence is a field of computer science that aims to mimic human thought processes, learning capacity, and knowledge storage.
Artificial imaging will transform cardiac imaging
Artificial intelligence following the human mind can change the entire perspective of human cardiology following the results of treatment. Over the past decades, several machinery learning techniques have been used for cardiovascular disease diagnosis. Every problem requires some degree of understanding the human heart. For example, checking the pulse rate was done manually by the doctors in past but now we have replaced it by pulse meter machine to get the exact evaluation of the pulse rate and the blood pressure. This is the art of the artificial intelligence system. The potential of AI in cardiovascular medicine is tremendous in machine learning however ignorance of challenges may overshadow its potential clinical impact.
Artificial Intelligence in pediatric cardiology and cardiac surgery
Finally, patients are beginning to demand more personalized care, especially with kids. A more sophisticated approach and interpretation are being expected by the patients and their parents in the field of cardiology. As a result, clinical practice will become more efficient, more convenient, more personalized and more effective. The artificial intelligence system will allow the physicians to interpret and respond to the additional streams of cardiology and surgery. In this technology, we introduce the common methods of machine learning and applications in cardiology and how AI will be incorporated in precision cardiovascular medicine. The basic role of cardiology in cardiovascular medicine is for research and development, for clinical practice to interpret the data and analyze for future solutions and for the overall health of general well being which has the important idea to reduce the mortality rate in the field of cardiovascular medicines.
Extension of physician care and medical efficacy with the incorporation of Artificial Intelligence and machine learning will improve Precision cardiovascular medicine.
