Artificial intelligence in echocardiography: detection, functional evaluation, and disease diagnosis

Area of Science:

• Cardiology
• Medical Imaging
• Artificial Intelligence

Background:

• Echocardiography is crucial for diagnosing cardiovascular diseases.
• High heart rates create fast-moving ultrasound images, challenging accurate diagnosis.
• Artificial intelligence (AI) is emerging as a solution for improved echocardiography analysis.

Purpose of the Study:

• To review the current applications of AI in echocardiography.
• To discuss the limitations of AI in this field.
• To explore future directions for AI in echocardiography.

Main Methods:

• Literature review of AI applications in echocardiography.
• Analysis of AI for detection, functional evaluation, and disease diagnosis.
• Discussion of current challenges and future prospects.

Main Results:

• AI demonstrates potential in enhancing echocardiography accuracy for disease detection and functional assessment.
• Current AI tools face limitations in handling the complexities of real-time echocardiographic data.
• Further development is needed to fully integrate AI into clinical echocardiography workflows.

Conclusions:

• AI is a valuable tool for improving echocardiography, but challenges remain.
• Future research should focus on refining AI algorithms and addressing limitations for widespread clinical adoption.
• AI holds significant promise for advancing cardiovascular disease diagnosis and treatment via echocardiography.