Transforming Cardiovascular Health: An Emerging Role of Biomarkers, Artificial Intelligence-Driven Imaging, and Digital-Based Technologies

Cardiovascular diseases (CVDs), the main cause of death worldwide, can only be prevented, diagnosed, and managed more effectively by integrating digital tools, biomarkers, and improved diagnostics. Traditional methods often fail to address the complexity of these diseases; therefore, innovative approaches are required to improve patient outcomes. This review highlights recent developments, clinical consequences, and integration issues as it examines the revolutionary role of digital health technology, biomarkers, and artificial intelligence (AI)-driven imaging in cardiovascular care. A thorough review of the literature focused on cardiovascular biomarkers, imaging techniques, and digital technologies. Modern CVD management revolves around precision medicine, multiomics methods, and AI-driven diagnostics. AI-driven imaging has improved patient classification and diagnostic accuracy. Examples of this include cardiac magnetic resonance imaging and hybrid positron emission tomography/computed tomography. Early identification and risk assessment are facilitated by novel biomarkers, including high-sensitivity troponins and inflammatory markers. Digital technologies, including wearables and telemedicine, enhance patient monitoring and adherence. The personalization of therapy and risk prediction has been greatly enhanced by the combination of AI and machine learning. Digital health technologies, AI-driven imaging, and biomarker integration are transforming cardiovascular care by facilitating early diagnosis, accurate therapy, and individualized management. Nevertheless, for broad acceptance, issues with accessibility, affordability, and ethics must be resolved. Interdisciplinary cooperation should be a key component of future research to guarantee the smooth incorporation of cutting-edge technology into standard clinical practice, which will ultimately improve cardiovascular health outcomes worldwide.

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Publication Details

Journal
Diabetes Technology and Obesity Medicine
Published
2025-03-01
DOI
https://doi.org/10.1089/dtom.2025.0034
Citations
2
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
Field-Weighted Citation Impact
2.72
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article

Transforming Cardiovascular Health: An Emerging Role of Biomarkers, Artificial Intelligence-Driven Imaging, and Digital-Based Technologies

Abhishek Gupta, Vani Gupta, Abhishek Ojha
2 citations
Diabetes Technology and Obesity Medicine
Cardiac Imaging and Diagnostics
2.72
article

Transforming Cardiovascular Health: An Emerging Role of Biomarkers, Artificial Intelligence-Driven Imaging, and Digital-Based Technologies

Abhishek Gupta, Vani Gupta, Abhishek Ojha
article en
2 citations

Abstract

Cardiovascular diseases (CVDs), the main cause of death worldwide, can only be prevented, diagnosed, and managed more effectively by integrating digital tools, biomarkers, and improved diagnostics. Traditional methods often fail to address the complexity of these diseases; therefore, innovative approaches are required to improve patient outcomes. This review highlights recent developments, clinical consequences, and integration issues as it examines the revolutionary role of digital health technology, biomarkers, and artificial intelligence (AI)-driven imaging in cardiovascular care. A thorough review of the literature focused on cardiovascular biomarkers, imaging techniques, and digital technologies. Modern CVD management revolves around precision medicine, multiomics methods, and AI-driven diagnostics. AI-driven imaging has improved patient classification and diagnostic accuracy. Examples of this include cardiac magnetic resonance imaging and hybrid positron emission tomography/computed tomography. Early identification and risk assessment are facilitated by novel biomarkers, including high-sensitivity troponins and inflammatory markers. Digital technologies, including wearables and telemedicine, enhance patient monitoring and adherence. The personalization of therapy and risk prediction has been greatly enhanced by the combination of AI and machine learning. Digital health technologies, AI-driven imaging, and biomarker integration are transforming cardiovascular care by facilitating early diagnosis, accurate therapy, and individualized management. Nevertheless, for broad acceptance, issues with accessibility, affordability, and ethics must be resolved. Interdisciplinary cooperation should be a key component of future research to guarantee the smooth incorporation of cutting-edge technology into standard clinical practice, which will ultimately improve cardiovascular health outcomes worldwide.

Diabetes Technology and Obesity MedicineVol. 1(1)
Symbiosis International University (IN), King George's Medical University (IN), Indian Institute of Public Health Gandhinagar (IN)
Openalex Percentile: Top 10%
Cardiac Imaging and Diagnostics
2.72
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