Cover Image

Contrasting Attitudes Towards Current and Future AI Applications for Computerised Interpretation of ECG: A Clinical Stakeholder Interview Study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hughes-Noehrer, Lukas, Channer, Leda, Strain, Gabriel, Yates, Gregory, Body, Richard, Jay, Caroline
Format:	Preprint
Published:	2024
Subjects:	Computers and Society Artificial Intelligence Machine Learning Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Subjective data models in bioinformatics: Do wet-lab and computational biologists comprehend data differently?
by: Yehudi, Yo, et al.
Published: (2022)

CREMA: A Contrastive Regularized Masked Autoencoder for Robust ECG Diagnostics across Clinical Domains
by: Song, Junho, et al.
Published: (2024)

Augmentation of EEG and ECG Time Series for Deep Learning Applications: Integrating Changepoint Detection into the iAAFT Surrogates
by: Moutonnet, Nina, et al.
Published: (2025)

Learning ECG Representations via Poly-Window Contrastive Learning
by: Yuan, Yi, et al.
Published: (2025)

Graph-Based Spatio-temporal Attention and Multi-Scale Fusion for Clinically Interpretable, High-Fidelity Fetal ECG Extraction
by: Wang, Chang, et al.
Published: (2025)

Interpretable ECG Analysis for Myocardial Infarction Detection through Counterfactuals
by: Tanyel, Toygar, et al.
Published: (2023)

Simultaneous Optimized Orthogonal Matching Pursuit with Application to ECG Compression
by: Rebollo-Neira, Laura
Published: (2024)

MEETI: A Multimodal ECG Dataset from MIMIC-IV-ECG with Signals, Images, Features and Interpretations
by: Zhang, Deyun, et al.
Published: (2025)

Comparative Analysis of Data Augmentation for Clinical ECG Classification with STAR
by: Nemati, Nader
Published: (2025)

ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning
by: Gao, Hongxiang, et al.
Published: (2023)

Fine-grained Contrastive Learning for ECG-Report Alignment with Waveform Enhancement
by: Li, Haitao, et al.
Published: (2025)

ECG-Chat: A Large ECG-Language Model for Cardiac Disease Diagnosis
by: Zhao, Yubao, et al.
Published: (2024)

Benchmarking ECG FMs: A Reality Check Across Clinical Tasks
by: Al-Masud, M A, et al.
Published: (2025)

Towards Interpretable Damage Detection based on Aerodynamic Pressure Measurements
by: Franz, Philip, et al.
Published: (2026)

ECG-TEM: Time-based sub-Nyquist sampling for ECG signal reconstruction and Hardware Prototype
by: Naaman, Hila, et al.
Published: (2024)

AI-based 3-Lead to 12-Lead ECG Reconstruction: Towards Smartphone-based Public Healthcare
by: Mallick, Aditya, et al.
Published: (2024)

Bayesian ECG reconstruction using denoising diffusion generative models
by: Cardoso, Gabriel V., et al.
Published: (2023)

CECGSR: Circular ECG Super-Resolution
by: Li, Honggui, et al.
Published: (2025)

CardioPatternFormer: Pattern-Guided Attention for Interpretable ECG Classification with Transformer Architecture
by: Uğraş, Berat Kutay, et al.
Published: (2025)

Hierarchical Attention Network for Interpretable ECG-based Heart Disease Classification
by: Rodriguez, Mario Padilla, et al.
Published: (2025)

Deep learning model for ECG reconstruction reveals the information content of ECG leads
by: Gradowski, Tomasz, et al.
Published: (2025)

TransECG: Leveraging Transformers for Explainable ECG Re-identification Risk Analysis
by: Wang, Ziyu, et al.
Published: (2025)

Towards reconstruction of Pulsed-wave Doppler signals from Non-invasive fetal ECG
by: Verma, Aman, et al.
Published: (2025)

ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets
by: Wang, Ziyu, et al.
Published: (2024)

anyECG-chat: A Generalist ECG-MLLM for Flexible ECG Input and Multi-Task Understanding
by: Li, Haitao, et al.
Published: (2025)

SSSD-ECG-nle: New Label Embeddings with Structured State-Space Models for ECG generation
by: Skorik, Sergey, et al.
Published: (2024)

Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement
by: Liu, Che, et al.
Published: (2024)

ECG Semantic Integrator (ESI): A Foundation ECG Model Pretrained with LLM-Enhanced Cardiological Text
by: Yu, Han, et al.
Published: (2024)

Lightweight Multi-task CNN for ECG Diagnosis with GRU-Diffusion
by: Xu, Lehuai, et al.
Published: (2025)

Investigation of Using Non-Contact Electrodes for Fetal ECG Monitoring
by: Le, Tai, et al.
Published: (2025)

AnyECG: Evolved ECG Foundation Model for Holistic Health Profiling
by: Li, Jun, et al.
Published: (2026)

A Multimodal Deep Learning Framework for Predicting ICU Deterioration: Integrating ECG Waveforms with Clinical Data and Clinician Benchmarking
by: Alcaraz, Juan Miguel López, et al.
Published: (2026)

TFCDiff: Robust ECG Denoising via Time-Frequency Complementary Diffusion
by: Li, Pengxin, et al.
Published: (2025)

ECG-EmotionNet: Nested Mixture of Expert (NMoE) Adaptation of ECG-Foundation Model for Driver Emotion Recognition
by: Mansourian, Nastaran, et al.
Published: (2025)

EEG Foundation Models: A Critical Review of Current Progress and Future Directions
by: Kuruppu, Gayal, et al.
Published: (2025)

Optimizing Neural Network Scale for ECG Classification
by: Lee, Byeong Tak, et al.
Published: (2023)

Self-Trained Model for ECG Complex Delineation
by: Avetisyan, Aram, et al.
Published: (2024)

Generating Realistic Multi-Beat ECG Signals
by: Pöhl, Paul, et al.
Published: (2025)

Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG
by: Selivanov, Alexander, et al.
Published: (2025)

DT4ECG: A Dual-Task Learning Framework for ECG-Based Human Identity Recognition and Human Activity Detection
by: You, Siyu, et al.
Published: (2025)