AI-driven healthcare analytics for early disease detection
A scoping review of clinical applications, validation, and translational challenges
DOI:
https://doi.org/10.32674/ex08x042Keywords:
Artificial intelligence, Healthcare analytics, Early disease detection, Machine learningAbstract
Artificial intelligence is increasingly used to support earlier disease detection across imaging, electronic health records, physiologic signals, wearable devices, and biomarker-based platforms. However, reported performance is highly variable across diseases, data environments, and validation settings, and the translational maturity of the field remains uneven.
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Copyright (c) 2026 Emmanuel Agbeko
This work is licensed under a Creative Commons Attribution 4.0 International License.
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This work is licensed under a Creative Commons Attribution 4.0 International License. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. https://creativecommons.org/licenses/by/4.0
