Cardiothoracic Imaging AI for Cardiac Diseases

Area of Science:

• Cardiothoracic imaging
• Medical artificial intelligence (AI)

Background:

• Artificial intelligence (AI) is increasingly transforming medical imaging.
• AI applications span multiple cardiothoracic imaging modalities.

Purpose of the Study:

• To review AI techniques and applications in cardiovascular disease imaging.
• To discuss AI's role in automated quantification, lesion detection, and disease screening.

Main Methods:

• Review of current AI applications in cardiothoracic imaging.
• Discussion of specific use cases for cardiovascular diseases.
• Consideration of population health, model development, and ethics.

Main Results:

• AI enables automated structural and functional quantification.
• AI aids in lesion detection, characterization, and disease screening.
• AI applications cover coronary artery disease, cardiac function, aortic syndromes, and more.

Conclusions:

• AI holds significant potential to advance cardiothoracic imaging and cardiovascular disease management.
• Addressing model development challenges and ethical considerations is crucial for AI implementation.
• AI integration promises improved diagnostic accuracy and patient outcomes in cardiology.