Application value of generative artificial intelligence in the field of stomatology.

In the Chinese context, the application value of GAI is the highest for Gemini, followed by ERNIE Bot and ChatGPT. GAI shows significant value in translation, patient-doctor communication, and popular science writing. However, its value in literature search, reporting, and image generation remains limited.

Authors

Institutions

Publication Details

Journal
PubMed
Published
2024-12-01
DOI
https://doi.org/10.7518/hxkq.2024.2024144
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application value of generative artificial intelligence in the field of stomatology.

Wei Zeng, Yuanlong Ye, Jinlong Chen, Lei Liu
1 citations
PubMed
Radiomics and Machine Learning in Medical Imaging
0.40
article

Application value of generative artificial intelligence in the field of stomatology.

Wei Zeng, Yuanlong Ye, Jinlong Chen, Lei Liu
article en
1 citations

Abstract

In the Chinese context, the application value of GAI is the highest for Gemini, followed by ERNIE Bot and ChatGPT. GAI shows significant value in translation, patient-doctor communication, and popular science writing. However, its value in literature search, reporting, and image generation remains limited.

PubMedVol. 42(6)
Sichuan University (CN), National Clinical Research (US), Stomatology Hospital (CN)
Openalex Percentile: Top 32%
Radiomics and Machine Learning in Medical Imaging
0.40
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.