Temporal Variability and Influence of Measurement Conditions of <scp>AI</scp> ‐Based Atrial Fibrillation Risk Estimation

The AF risk estimated by the AI-based program exhibited temporal variability. Shifting the precordial electrodes influenced AI-based AF risk estimation.

Authors

Institutions

Publication Details

Journal
Journal of Arrhythmia
Published
2026-02-01
DOI
https://doi.org/10.1002/joa3.70280
Primary Topic
Atrial Fibrillation Management and Outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Temporal Variability and Influence of Measurement Conditions of AI ‐Based Atrial Fibrillation Risk Estimation

Mie Ochida, Iwanari Kawamura, Satomi Hamada, Susumu Tao et al.
Journal of Arrhythmia
Atrial Fibrillation Management and Outcomes
article

Temporal Variability and Influence of Measurement Conditions of AI ‐Based Atrial Fibrillation Risk Estimation

Mie Ochida, Iwanari Kawamura, Satomi Hamada, Susumu Tao, Miki Amemiya, T Sasano
article en

Abstract

The AF risk estimated by the AI-based program exhibited temporal variability. Shifting the precordial electrodes influenced AI-based AF risk estimation.

Journal of ArrhythmiaVol. 42(1)
Cardiovascular Institute Hospital (JP), University of Tokyo Hospital (JP), Institute of Science Tokyo (JP)
Openalex Percentile: Top 66%
Atrial Fibrillation Management and Outcomes
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.