Development of a Telemedicine-Based Assisted System for CT Imaging and Gene Matching

The objective of this study is to develop a system that will facilitate diagnosis and treatment in the context of telemedicine. The system has been constructed using a three-tiered architecture comprising the following frameworks: B/S, Spring Boot and VUE. The system is primarily constructed with CT imaging, genetic screening, and comparison functions. Additionally, the system can be deployed in any system configured with a JDK environment, including Linux and Windows. The system employs high-definition medical image transmission to enhance the precision of remote diagnosis and integrates CT imaging and genetic screening technology to assist physicians in formulating treatment plans. This system facilitates the efficacy and convenience of remote diagnosis and treatment, and enables more accurate diagnosis and treatment for physicians.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/icftic64248.2024.10913021
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
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Development of a Telemedicine-Based Assisted System for CT Imaging and Gene Matching

Wei Quan, Yan Song, Rui Wang, Xiao Zhang et al.
Artificial Intelligence in Healthcare
article

Development of a Telemedicine-Based Assisted System for CT Imaging and Gene Matching

Wei Quan, Yan Song, Rui Wang, Xiao Zhang, Yongkun He, Yudong Xu
article en

Abstract

The objective of this study is to develop a system that will facilitate diagnosis and treatment in the context of telemedicine. The system has been constructed using a three-tiered architecture comprising the following frameworks: B/S, Spring Boot and VUE. The system is primarily constructed with CT imaging, genetic screening, and comparison functions. Additionally, the system can be deployed in any system configured with a JDK environment, including Linux and Windows. The system employs high-definition medical image transmission to enhance the precision of remote diagnosis and integrates CT imaging and genetic screening technology to assist physicians in formulating treatment plans. This system facilitates the efficacy and convenience of remote diagnosis and treatment, and enables more accurate diagnosis and treatment for physicians.

Changchun University of Science and Technology (CN)
Openalex Percentile: Top 62%
Artificial Intelligence in Healthcare
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