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December 8, 2025Blood

Evaluating artificial intelligence (AI) as a clinical decision support tool for AML patients

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Authors

ASAnkushi SanghviYKYue Faat Raymond Kwok

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Overview

Quality improvement analysis suggests AI enhances treatment recommendations in acute myeloid leukemia, indicating potential clinical utility.

Key Points

  • AI demonstrated 80% concordance with physician treatment decisions in 20 AML patients, revealing high agreement between AI and clinical expertise.
  • Physician ratings on AI-generated treatment recommendations averaged 4.02 on a 5-point scale, indicating favorable assessment of AI's predictive capabilities.
  • Analysis of next-generation sequencing and molecular profiles was utilized to improve clinical decision support in AML management.
  • AI's predictive accuracy for operational metrics remains low, signaling needs for integration of real-world factors into AI training.

Cite This Study

Sanghvi et al. (2025) studied this question.

synapsesocial.com/papers/69362f6c4fa91c937236df9fhttps://doi.org/10.1182/blood-2025-6214
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