Purpose of Review <p>Artificial intelligence (AI) is expeditiously reshaping healthcare by refining diagnosis, treatment, and patient care. AI, a transformative force in both cardiology and oncology, is now being increasingly explored for its potentials in the arising field of cardio-oncology.</p> Recent Findings <p>In the field of Cardio-Oncology, risk prediction and stratification using clinical characteristics, combined with imaging such as electrocardiography, multimodality cardiovascular imaging, and laboratory studies such as biomarkers powered by AI can assist in identifying cardiotoxicity with better precision and efficiency. In addition, surveillance of cardiotoxicity through longitudinal follow-up is an important area that AI can aid to offer improved efficiency, high precision, and consistency when processing high throughput data. Nonetheless, other applications of AI in telemedicine and digital health, translation science, drug discovery, and healthcare education hold significant promise in the domain of cardio-oncology.</p> Summary <p>In conclusion, AI can advance the field of cardio-oncology and further research is necessary to assess its current limitations, overcome existing challenges, and transform research into real-life practice.</p>

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The Role of Artificial Intelligence in Cardio-Oncology

  • Priyanka Deepak Gianchandani,
  • Lili Zhang

摘要

Purpose of Review

Artificial intelligence (AI) is expeditiously reshaping healthcare by refining diagnosis, treatment, and patient care. AI, a transformative force in both cardiology and oncology, is now being increasingly explored for its potentials in the arising field of cardio-oncology.

Recent Findings

In the field of Cardio-Oncology, risk prediction and stratification using clinical characteristics, combined with imaging such as electrocardiography, multimodality cardiovascular imaging, and laboratory studies such as biomarkers powered by AI can assist in identifying cardiotoxicity with better precision and efficiency. In addition, surveillance of cardiotoxicity through longitudinal follow-up is an important area that AI can aid to offer improved efficiency, high precision, and consistency when processing high throughput data. Nonetheless, other applications of AI in telemedicine and digital health, translation science, drug discovery, and healthcare education hold significant promise in the domain of cardio-oncology.

Summary

In conclusion, AI can advance the field of cardio-oncology and further research is necessary to assess its current limitations, overcome existing challenges, and transform research into real-life practice.