Learning Models for Anomaly Detection in Medical Imaging and Improving Diagnostics in Health Care – A Review

Jayabharathi S and V. Ilango

International Journal of Scientific Research in Science and Technology, 2025, vol. 12, issue 2, 1181-1185

Abstract: Improving diagnostics in healthcare through machine learning (ML) and deep learning (DL) models has shown significant promise in enhancing accuracy, accessibility, and efficiency. These technologies facilitate early disease detection and personalized treatment, ultimately leading to better patient outcomes. The following sections outline key aspects of this transformative impact.

Keywords: Diagnostics In Health; Improving Diagnostics; Models For Anomaly; Detection In Medical; Imaging And Improving (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:etm:ijsrst:v12:y2025:i2:id:773

DOI: 10.32628/IJSRST251222679

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