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July 26, 2026Cardiovascular & Haematological Disorders - Drug Targets

AI improves risk assessment and early diagnosis of HF, arrhythmias, and CAD.

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Key result

Artificial intelligence in cardiovascular medicine improves risk assessment and early diagnosis of heart failure, arrhythmias, and coronary artery disease.

Authors

SPSrushti Bhupesh PatilYPYash Pramod PatilKPKunal Sharad Patil

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Overview

May support AI integration for cardiovascular diagnostics; leaves open need for prospective validation before practice change.

Key Points

  • This research aims to explore the impact of AI integration on cardiovascular diagnosis and management.
  • Utilized AI algorithms including machine learning and deep learning for data analysis.
  • Analyzed large datasets from portable sensors, electronic health records, and medical images.
  • Monitored cardiac function remotely for continuous assessment.
  • AI systems improved diagnostic accuracy for conditions like heart failure and coronary artery disease.
  • Automated image processing reduced human error and simplified medical procedures.
  • Anticipated adverse cardiac events through real-time predictive analyses.

PICO

P
Population
Cardiovascular diseases
E
Exposure / Comparator
Artificial intelligence (AI)

Artificial intelligence has the potential to revolutionize cardiovascular medicine by improving early diagnosis, risk assessment, and personalized treatment, though challenges in data quality and ethics remain.

Limitations

  • Data quality
  • Model transparency
  • Ethical considerations
  • data quality
  • model transparency
  • ethical considerations

Cite This Study

Patil et al. (2026) conducted a review in Cardiovascular diseases. Artificial intelligence (AI) was evaluated. Artificial intelligence in cardiovascular medicine improves risk assessment and early diagnosis of heart failure, arrhythmias, and coronary artery disease.

synapsesocial.com/papers/6a65a84ed3aea3239cd78c0chttps://doi.org/10.2174/011871529x414660251209135356
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