Intelligent medical assistant: AI medical image assistance technology and its application in cancer diagnosis and treatment decision

Artificial intelligence (AI) is a computer technology that has a human way of thinking and can imitate the human brain. The integration of AI into medical imaging has revolutionized diagnosis and treatment, providing significant advances in diagnostic accuracy, treatment planning, and patient care. In the context of widespread global cancer challenges, this study will focus on the effectiveness of AI technology for early detection in the field of imaging and histological image analysis, and review strategies for using image processing technology to detect tumors. We discussed the latest AIdriven technologies, including deep learning algorithms, computer-aided detection systems (CAD), and computer-aided diagnosis (CADx), which excel at processing large data sets to produce accurate and valid results in cancer detection, helping imaging physicians accurately identify cancer, and enhancing early cancer diagnosis. And then improve the patient's prognosis through therapeutic intervention.

Authors

Institutions

Publication Details

Published
2024-10-17
DOI
https://doi.org/10.1117/12.3049255
Primary Topic
Medical Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intelligent medical assistant: AI medical image assistance technology and its application in cancer diagnosis and treatment decision

Yu He
Medical Imaging and Analysis
article

Intelligent medical assistant: AI medical image assistance technology and its application in cancer diagnosis and treatment decision

Yu He
article en

Abstract

Artificial intelligence (AI) is a computer technology that has a human way of thinking and can imitate the human brain. The integration of AI into medical imaging has revolutionized diagnosis and treatment, providing significant advances in diagnostic accuracy, treatment planning, and patient care. In the context of widespread global cancer challenges, this study will focus on the effectiveness of AI technology for early detection in the field of imaging and histological image analysis, and review strategies for using image processing technology to detect tumors. We discussed the latest AIdriven technologies, including deep learning algorithms, computer-aided detection systems (CAD), and computer-aided diagnosis (CADx), which excel at processing large data sets to produce accurate and valid results in cancer detection, helping imaging physicians accurately identify cancer, and enhancing early cancer diagnosis. And then improve the patient's prognosis through therapeutic intervention.

Lanzhou University (CN)
Openalex Percentile: Top 83%
Medical Imaging and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Intelligent medical assistant: AI medical image assistance technology and its application in cancer diagnosis and treatment decision — Yu He · (2024) | TGRS Research Map | TGRS