Knowledge-Assisted Deep Learning for Digital Health: Framework, Case Studies, and Future Opportunities

Jiangtao Wang; Claudio Angione; Annalisa Occhipinti

doi:10.1109/mc.2025.3649811

Knowledge-Assisted Deep Learning for Digital Health: Framework, Case Studies, and Future Opportunities

Research output: Contribution to journal › Article › peer-review

Abstract

This article presents a 2D framework integrating health domain knowledge with AI-driven methods to address challenges and enhance deep learning in health-care. Case studies across health applications and data modalities demonstrate practical use, and future research directions highlight key challenges and opportunities for advancing the field.

Original language	English
Pages (from-to)	65-76
Number of pages	12
Journal	Computer
Volume	59
Issue number	5
Early online date	28 Apr 2026
DOIs	https://doi.org/10.1109/mc.2025.3649811
Publication status	Published - 1 May 2026

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abstract = "This article presents a 2D framework integrating health domain knowledge with AI-driven methods to address challenges and enhance deep learning in health-care. Case studies across health applications and data modalities demonstrate practical use, and future research directions highlight key challenges and opportunities for advancing the field.",

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Knowledge-Assisted Deep Learning for Digital Health: Framework, Case Studies, and Future Opportunities

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