Artificial intelligence-assisted diagnosis and prognostication in low ejection fraction using electrocardiograms in inpatient department: a pragmatic randomized controlled trial

Authors

Institutions

Publication Details

Journal
BMC Medicine
Published
2025-06-08
DOI
https://doi.org/10.1186/s12916-025-04190-z
Citations
5
Primary Topic
Blood Pressure and Hypertension Studies
Type
article
Field-Weighted Citation Impact
6.94

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial intelligence-assisted diagnosis and prognostication in low ejection fraction using electrocardiograms in inpatient department: a pragmatic randomized controlled trial

Yu‐Lan Liu, Yi‐Jen Hung, Dung‐Jang Tsai, Chien‐Sung Tsai et al.
5 citations
BMC Medicine
Blood Pressure and Hypertension Studies
6.94
article

Artificial intelligence-assisted diagnosis and prognostication in low ejection fraction using electrocardiograms in inpatient department: a pragmatic randomized controlled trial

Yu‐Lan Liu, Yi‐Jen Hung, Dung‐Jang Tsai, Chien‐Sung Tsai, Da‐Wei Chang, Chiao‐Chin Lee, Wei–Ting Liu, Chiao‐Hsiang Chang, Ping-Hsuan Hsieh, Wen‐Yu Lin, Chin Lin, Yuan-Hao Chen, Chin-Sheng Lin
article en
5 citations

Abstract

No abstract available for this paper.
BMC MedicineVol. 23(1)
Tri-Service General Hospital (TW), National Defense Medical Center (TW)
National Science and Technology Council
Peace, Justice and strong institutions
Openalex Percentile: Top 3%
Blood Pressure and Hypertension Studies
6.94
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.