AI in Spotting High-risk Characteristics of Medical Imaging and Molecular Pathology

Overview

Journal Precis Clin Med

Publisher Oxford University Press

Specialty General Medicine

Date 2022 Jun 13

PMID 35692858

Authors

Chong Zhang

Jionghui Gu

Yangyang Zhu

Zheling Meng

Tong Tong

Dongyang Li

Zhenyu Liu

Yang Du

Kun Wang

Jie Tian

Affiliations

Soon will be listed here.

Abstract

Medical imaging provides a comprehensive perspective and rich information for disease diagnosis. Combined with artificial intelligence technology, medical imaging can be further mined for detailed pathological information. Many studies have shown that the macroscopic imaging characteristics of tumors are closely related to microscopic gene, protein and molecular changes. In order to explore the function of artificial intelligence algorithms in in-depth analysis of medical imaging information, this paper reviews the articles published in recent years from three perspectives: medical imaging analysis method, clinical applications and the development of medical imaging in the direction of pathological molecular prediction. We believe that AI-aided medical imaging analysis will be extensively contributing to precise and efficient clinical decision.

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