Research Article
Application and Development of AI Imaging Technology in the Biological Clinical Field
@INPROCEEDINGS{10.4108/eai.22-5-2026.2365221, author={Xiao Nan}, title={ Application and Development of AI Imaging Technology in the Biological Clinical Field}, proceedings={Proceedings of the 4th International Conference on Image, Algorithms, and Artificial Intelligence, ICIAAI 2026, 22-24 May 2026, Singapore, Singapore}, publisher={EAI}, proceedings_a={ICIAAI}, year={2026}, month={8}, keywords={AI imaging Special disease modeling Full chain diagnosis}, doi={10.4108/eai.22-5-2026.2365221} }- Xiao Nan
Year: 2026
Application and Development of AI Imaging Technology in the Biological Clinical Field
ICIAAI
EAI
DOI: 10.4108/eai.22-5-2026.2365221
Abstract
In the past five years, relying on the core advantages of multi-modal fusion and special disease modeling, artificial intelligence (AI) imaging technology has achieved leapfrog development from auxiliary diagnosis to accurate prognosis, and promoted the transformation of clinical diagnosis and treatment from "experience-driven" to "data intelligence". This paper systematically reviews the research progress of the two core technology routes in this field. These two routes are the subdivision scenario technology of special disease modeling adaptation and the whole chain diagnosis and treatment technology driven by multi-modal fusion. The purpose of this paper is to analyze the advantages and disadvantages of the characteristics and look forward to the future direction, providing a reference for technology transformation and iterative upgrading.
