Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for COVID-19 Screening With Chest Radiography. (arXiv:2207.09312v1 [eess.IV])

Building AI models with trustworthiness is important especially in regulated
areas such as healthcare. In tackling COVID-19, previous work uses
convolutional neural networks as the backbone architecture, which has shown to
be prone to over-caution and overconfidence in making decisions, rendering them
less trustworthy -- a crucial flaw in the context of medical imaging. In this
study, we propose a feature learning approach using Vision Transformers, which
use an attention-based mechanism, and examine the representation learning
capability of Transformers as …

ai arxiv attention covid covid-19 feature healthcare healthcare ai learning trustworthy