Breaking boundaries in radiology: redefining AI diagnostics via raw data ahead of reconstruction.

Bingxi HeCaixia SunHailin LiYongbo WangYunlang SheMengmeng ZhaoMengjie FangYongbei ZhuKun WangZhenyu LiuZiqi WeiWei MuShuo WangZhenchao TangJingwei WeiLizhi ShaoLixia TongFeng HuangYu GuoHuimao ZhangMingze TangDi DongChang Chen Jianhua Ma Zhenyu Zhang

Published in: Physics in medicine and biology (2024)

The diagnostic and therapeutic approach directly based on CT raw data can enhance the precision of AI models and the concept of "signal-to-image" can be extended to other types of imaging. AI diagnostic models tailored to raw data offer the potential to disrupt the traditional paradigm of "signal-image-knowledge", opening up new avenues for more accurate medical diagnostics.&#xD.

Keyphrases

artificial intelligence
big data
electronic health record
deep learning
healthcare
high resolution
computed tomography
magnetic resonance imaging
risk assessment
mass spectrometry
photodynamic therapy
dual energy