AIMC Topic: Cardiology

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Artificial Intelligence in Cardiology: General Perspectives and Focus on Interventional Cardiology.

Anatolian journal of cardiology
Artificial intelligence (AI) is being intensively applied to cardiology, particularly in diagnostics, risk prediction, treatment planning, and invasive procedures. While AI-driven advancements have demonstrated promise, their real-world implementatio...

Interventional cardiologists' perspectives and knowledge towards artificial intelligence.

The Journal of invasive cardiology
BACKGROUND: Artificial intelligence (AI) is increasingly utilized in interventional cardiology (IC) and holds the potential to revolutionize the field.

Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice: JACC State-of-the-Art Review.

Journal of the American College of Cardiology
Artificial intelligence (AI) has the potential to transform every facet of cardiovascular practice and research. The exponential rise in technology powered by AI is defining new frontiers in cardiovascular care, with innovations that span novel diagn...

Establishing a Center for Innovation and Artificial Intelligence in a Tertiary Medical Center: Successes and Challenges.

The Israel Medical Association journal : IMAJ
BACKGROUND: The field of artificial intelligence (AI) is poised to significantly influence the future of medicine. With the accumulation of vast databases and recent advancements in computer science methods, AI's capabilities have been demonstrated i...

Artificial intelligence: revolutionizing cardiology with large language models.

European heart journal
Natural language processing techniques are having an increasing impact on clinical care from patient, clinician, administrator, and research perspective. Among others are automated generation of clinical notes and discharge letters, medical term codi...

The Ultimate Assistant: How AI Can Optimize Treatment for Cardiology Patients.

IEEE pulse
Artificial intelligence (AI) is becoming all-pervasive, impacting our lives in ways that are sometimes visible, but at other times hidden. Algorithms that learn from data-be it consumer preferences, medical imaging data, or any other dataset-are infl...