The potential of artificial intelligence and machine learning algorithms in the field of cardiovascular diseases

Artificial intelligence (AI) and machine learning (ML) is a form of intelligence that has a wide-reaching impact on various aspects of contemporary life, including the field of medicine. Artificial intelligence tools and technology are utilized for the early identification and diagnosis of severe or intricate heart conditions. The potential of artificial intelligence (AI) in cardiovascular medicine is significant. However, the major challenges hindering the development of AI applications in this field include the scarcity of diverse data and limited availability of huge datasets. These revolutionary digital technologies will play a significant role in shaping the future of cardiology.

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Publication Details

Journal
Acta Medica Alanya
Published
2024-08-23
DOI
https://doi.org/10.30565/medalanya.1537200
Primary Topic
Machine Learning in Healthcare
Type
article
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article

The potential of artificial intelligence and machine learning algorithms in the field of cardiovascular diseases

Can Ramazan Öncel, Ahmet Aslan
Acta Medica Alanya
Machine Learning in Healthcare
article

The potential of artificial intelligence and machine learning algorithms in the field of cardiovascular diseases

Can Ramazan Öncel, Ahmet Aslan
article en

Abstract

Artificial intelligence (AI) and machine learning (ML) is a form of intelligence that has a wide-reaching impact on various aspects of contemporary life, including the field of medicine. Artificial intelligence tools and technology are utilized for the early identification and diagnosis of severe or intricate heart conditions. The potential of artificial intelligence (AI) in cardiovascular medicine is significant. However, the major challenges hindering the development of AI applications in this field include the scarcity of diverse data and limited availability of huge datasets. These revolutionary digital technologies will play a significant role in shaping the future of cardiology.

Acta Medica AlanyaVol. 8(2)
Alanya Alaaddin Keykubat Üniversitesi (TR)
Openalex Percentile: Top 88%
Machine Learning in Healthcare
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