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June 25, 2026International Journal of Innovative Technologies in Social ScienceOpen Access

From Data to Clinical Decisions: A Review of Artificial Intelligence and Modern Technologies in Cardiovascular Care

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Why the study?

Cardiovascular diseases remain the leading cause of death worldwide, while traditional care relies mainly on office visits despite risk factors developing in everyday life.

Design

Narrative and systematizing review

Key result

Modern technologies, including artificial intelligence and wearable devices, have significant potential to support the prevention, diagnosis, and monitoring of cardiovascular diseases.

Authors

WPWeronika Martyna PielichUniversity of SzczecinKMKinga MehalWroclaw University of Health and Sport SciencesNSNatalia SiustaUniversity of Szczecin

Discussion

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Member takes

Overview

AI may enhance CVD diagnostic accuracy as a complementary tool; leaves open questions on bias, interpretability, and regulatory integration for clinical use.

Key Points

  • This review aims to evaluate the impact of modern technologies, particularly AI, on cardiovascular care.
  • Conducted a narrative and systematizing review of existing literature
  • Searched literature using terms related to cardiovascular diseases and digital health technologies
  • Digital technologies show promise in supporting cardiovascular care across multiple areas.
  • AI can enhance ECG interpretation and arrhythmia detection, significantly improving diagnostics.
  • Integration of wearable devices allows for continuous monitoring, though outcomes require clinical validation.

PICO

P
Population
Cardiovascular diseases
I
Intervention / Comparator
Artificial intelligence and modern technologies vs Traditional model of care

Modern technologies such as AI and wearables have great potential to support cardiovascular disease prevention, diagnosis, and monitoring when integrated into well-organized clinical care pathways.

Limitations

  • Technologies should support rather than replace physicians' clinical judgment
  • Performance of predictive models depends heavily on data quality
  • Risk of false-positive and false-negative results with consumer devices
  • Digital inequality may limit access for older adults and those with lower socioeconomic status

Cite This Study

Pielich et al. (2026) conducted a review in Cardiovascular diseases. Artificial intelligence and modern technologies vs. Traditional model of care was evaluated. Modern technologies, including artificial intelligence and wearable devices, have significant potential to support the prevention, diagnosis, and monitoring of cardiovascular diseases.

synapsesocial.com/papers/6a3d91bf408ebb922448b121https://doi.org/10.31435/ijitss.2(50).2026.5928
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