The Current Research Landscape on Integrating ArtificialIntelligence with Ultrasound Imaging for Cancer Diagnosis: ADual-Database Bibliometric Study

Future work should emphasize large, diverse datasets, multimodal integration, transparent algorithms, and prospective validation to ensure measurable patient benefits.

Authors

Institutions

Publication Details

Journal
Current Medicinal Chemistry
Published
2026-02-16
DOI
https://doi.org/10.2174/0109298673443495251215073442
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Current Research Landscape on Integrating ArtificialIntelligence with Ultrasound Imaging for Cancer Diagnosis: ADual-Database Bibliometric Study

Minhao Zhang, Yi-Xiang Wang, Xiaolei Miao, Halisa Paerhati et al.
Current Medicinal Chemistry
Radiomics and Machine Learning in Medical Imaging
article

The Current Research Landscape on Integrating ArtificialIntelligence with Ultrasound Imaging for Cancer Diagnosis: ADual-Database Bibliometric Study

Minhao Zhang, Yi-Xiang Wang, Xiaolei Miao, Halisa Paerhati, Anshi Wu
article en

Abstract

Future work should emphasize large, diverse datasets, multimodal integration, transparent algorithms, and prospective validation to ensure measurable patient benefits.

Current Medicinal ChemistryVol. 33
Beijing Chao-Yang Hospital, Capital Medical University (CN), Jiangsu Cancer Hospital (CN)
Openalex Percentile: Top 49%
Radiomics and Machine Learning in Medical Imaging
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.