Overcoming Computational Resource Limitations in Deep Learning for Healthcare: Strategies Targeting Data, Model, and Computing
Year: 2025
Type: article
Abstract: Deep learning has been identified as an indispensable backbone in health data science. However, the computational constraints faced by many healthcare providers, who may lack access to high-performance computing resources, must be considered. This commentary illustrates three representative strategies from the perspective of data, model, and computing to mitigate computational constraints in resource-limited settings.
Source: Medicine Advances
DOI: 10.1002/med4.70001
Author: Han Yuan
Institutions: National University of Singapore, Duke-NUS Medical School
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4408747185