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May 31, 2026Journal of Thrombosis and ThrombolysisOpen Access

Innovative strategies for early detection of cardiotoxicity: artificial intelligence and multi-modality collaborative models

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RBRichard C. Becker

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Overview

Urges heightened CV safety monitoring in cancer therapy amid FDA constraints; leaves open optimal surveillance strategies.

Key Points

  • The aim is to improve early detection of cardiotoxicity in cancer treatments through innovative strategies and collaborations.
  • Outline public-private partnerships and collaborative oversight models for cardiotoxicity monitoring.
  • Propose a strategic forecasting framework with real-time safety data pipelines and risk mitigation strategies.
  • Utilize AI for signal detection while ensuring human verification of adjudications.
  • Implementation of collaborative models enhances continuous surveillance of cardiac safety during treatment.
  • Establishment of interoperable safety data pipelines improves real-time monitoring of cardiotoxicity.
  • Integration of AI allows for more efficient and effective detection of cardiac signals under regulatory frameworks.

Cite This Study

Richard C. Becker (2026) studied this question.

synapsesocial.com/papers/6a1bd1db5783ba022b6fd3fdhttps://doi.org/10.1007/s11239-026-03262-y
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  4. 4Artificial intelligence in oncology drug development and management: a precision medicine perspective2025 · 9 citations
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