Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
January 24, 2021SensorsOpen Access

Artificial-Intelligence-Enhanced Mobile System for Cardiovascular Health Management

View Full Paper
Ask AI
Bookmark
Share

Key result

An AI-enhanced mobile system achieved high diagnostic accuracy, with 17 of 20 cardiovascular diagnostic items scoring >0.98 ROC-AUC, and was deployed to 20,000 users across China.

Why the study?

Cardiovascular disease burden and clinician workloads are increasing while clinician numbers decline, creating a need for automated mobile systems to support cardiovascular health management.

Population

Around 20,000 users in twenty provinces throughout China

Authors

ZFZhaoji FuUniversity of Science and Technology of ChinaSHShenda HongPeking UniversityRZRui ZhangUniversity of Science and Technology of China

Discussion

Loading...

Member takes

Overview

May aid remote CV self-management amid clinician shortages; leaves open real-world workload reduction and outcomes.

Structured PICO

P
Population
Around 20,000 users in China utilizing an AI-enhanced mobile system for cardiovascular health management.
I
Intervention
Artificial-Intelligence-Enhanced Mobile System (hardware ECG device and deep-learning-based cloud service)
O
Outcome
Diagnostic accuracy (ROC-AUC score) for 20 types of diagnostic items including sinus rhythm, tachyarrhythmia, and bradyarrhythmiasurrogate

An AI-enhanced mobile ECG system demonstrated high diagnostic accuracy (ROC-AUC >0.98 for 17/20 conditions) and was successfully deployed to 20,000 users in China.

Cite This Study

Fu et al. (2021) studied Cardiovascular diseases (n=20,000). Artificial-Intelligence-Enhanced Mobile System was evaluated on Cardiovascular disease detection. An AI-enhanced mobile system achieved high diagnostic accuracy, with 17 of 20 cardiovascular diagnostic items scoring >0.98 ROC-AUC, and was deployed to 20,000 users across China.

synapsesocial.com/papers/6a735bf603bfdad20fc67b0ehttps://doi.org/10.3390/s21030773
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 2 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Deep neural networks can predict mortality from 12-lead electrocardiogram voltage data2019 · 50 citations
  2. 2Deep Residual Learning for Image Recognition2016 · 228,971 citations