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September 10, 2025

Multimodal Machine Learning-Based Cancer Progression Prediction from Plain Radiographs and Clinical Data

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Authors

HUHassan UmarAAAli Ahmad Aminu

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Overview

Investigates multimodal machine learning to enhance cancer progression predictions using radiographs, suggesting improved clinical decision-making.

Key Points

  • The multimodal machine learning model achieved a testing accuracy of 94%, significantly outperforming unimodal models.
  • High precision (94.2%) and recall (94%) indicate the model's effectiveness in accurately identifying true positive cases.
  • This assessment leveraged deep learning for images and interpretable models for clinical data to integrate diverse datasets.
  • The research shows potential for improving cancer diagnosis and prognosis, supporting enhanced personalized treatment planning.

Cite This Study

Umar et al. (2025) studied this question.

synapsesocial.com/papers/68c1a5eb54b1d3bfb60df768https://doi.org/10.64290/bima.v9i1a.900
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