The Role of Artificial Intelligence in Cardiovascular Intensive Care

Citation: Rojas-Díaz EL. The Role of Artificial Intelligence in Cardiovascular Intensive Care. 21st Century Cardiol. 2023 Apr; 3(3):135.

Abstract

Cardiovascular intensive care is a complex and challenging medical specialty that requires high-quality medica care for patients with acute or chronic heart disease. The use of artificial intelligence (AI) has become an important toll in healthcare in recent years. This short communication aims to discuss the use of AI tool in cardiovascular intensive care and their impact on patient care. Machine learning and natural language processing are two AI techniques that have been used in cardiovascular intensive care to aid in early detection of heart disease, diagnosis and risk assessment, treatment selection and disease progression monitoring. The use of AI tools in cardiovascular intensive care has the potential to improve the accuracy of diagnosis reduce wait times for treatment and enhance patient care. However, it is important to note that AI should no replace human medical care, but rather complement it. The role of AI in cardiovascular intensive care is an exciting arear of research that has potential to improve outcomes and revolutionize the field of cardiovascular medicine.

Keywords:

Critical care; Cardiovascular diseases; Artificial intelligence

Introduction

Cardiovascular intensive care is a medica specialty that deals with patients with acute or chronic heart disease requiring intensive care. High-quality medical care is essential for the recovery and survival of these patients. However, the complexity of cardiovascular diseases and available treatments can make cardiovascular intensive care challenging. Artificial intelligence (AI) has become a valuable tool in healthcare in recent years. In this short communication, we will discuss the use of AI tools in cardiovascular intensive care and their impact on patient care [1,2].

Discussion

AI can be defined as the ability of computers to perform tasks that typically require human intelligence, such as learning, decision making and reasoning. In cardiovascular intensive care, AI can be used to aid in early detection of heart disease, diagnosis and risk assessment, treatment selection and disease progression monitoring [3].

One of the most widely used AI tools in cardiovascular intensive care is machine learning. Machine learning is an AI technique that allows computers to learn from data, without the need to explicitly program specific rules. Machine learning has been used in cardiovascular intensive care to develop predictive models or heart disease and to evaluate the risk of complications [4].

Another AI tool that has been used in cardiovascular intensive care is natural language processing (NLP). NLP is used to extract relevant information from electronic medical records, such as laboratory test results, imaging reports and clinical notes. The extracted information can be used for diagnosis and treatment selection [5].

The use of AI tools in cardiovascular intensive care can improve the accuracy of diagnosis, reduce wait times for treatment and enhance patient care. However, it is important to note that AI should not replace human medica care, but rather complement it [3].

Conclusion

In conclusion, the use of AI tools in cardiovascular intensive care can have a significant impact on patient care. Machine learning and natural language processing are useful AI tools in cardiovascular intensive care, as they can improve accuracy of diagnosis and treatment selection. However, it is important that healthcare professionals remain responsible for clinical decision-making, while AI acts as a supporting tool.

Disclosure of Interest

The author declare that they have no competing interest.