科研合作

我们为高校、医院等科研院所，提供算法、硬件、软件等技术支持，共同开展医疗人工智能的科学研究。

研究成果

论     文

2025.02 ◯——

A Deep Learning Method for Beat-Level Risk Analysis and Interpretation of Atrial Fibrillation Patients during Sinus Rhythm

2024.12 ◯——

Multi-modal artificial intelligence algorithm for the prediction of left atrial low-voltage areas in atrial fibrillation patient based on sinus rhythm electrocardiogram and clinical characteristics: a retrospective, multicentre study

Screening for severe coronary stenosis in patients with apparently normal electrocardiograms based on deep learning

Deep Learningin Heart Sound Analysis: From Techniques to Clinical Applications

基于深度学习的ECG-PPG无创连续而压估计算法研究

基于提示词工程和检索增强生成的跨模态心电大语言模型问答系统

面向纸质心电图的大模型研究与应用

An artificial intelligence-enabled electrocardiogram algorithm for the prediction of left atrial low-voltage areas in persistent atrial fibrillation

Screening Tool for Paroxysmal Atrial Fibrillation Based on a Deep-Learning Algorithm Using Printed 12-Lead Electrocardiographic Records during Sinus Rhythm

DiffuSETS: 12-lead ECC Generation Conditioned on Clinical Text Reports and Patient-Specific Information

Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series: A UK Biobank Study

基于人工智能心电图差异预测冷冻消融术后心房颤动复发

CardioDefense: Defending against adversarial attack in ECG classification with adversarial distillation training

A REVIEW OF DEEP LEARNING METHODS FOR PHOTOPLETHYSMOGRAPHY DATA

Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning

Less is More: Reducing Overfitting in Deep Learning for EEG Classification

Cardiac arrhythmia classification with rejection of ECG recordings based on uncertainty estimation from deep neural networks

DEEP LEARNING FOR HEART SOUND ANALYSIS: A LITERATURE REVIEW

基于心电人工智能的心脏年龄预测方法和应用

Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer

基于扩散模型的 PPG 生成 ECG 算法研究

Artifcial Intelligence System for Detection and Screening of Cardiac Abnormalities using Electrocardiogram Images

从纸质心电图中识别房颤的人工智能算法研究

人工智能心电分析技术在临床诊疗中的应用进展

A simple self-supervised ECG representation learning method via manipulated temporal-spatial reverse detection

从大致正常心电图预测冠状动脉重度狭窄的人工智能模型

DEEP LEARNING IN THE PREDICTION OF ANGIOGRAPHY-PROVEN SEVERE CORONARY STENOSIS IN PATIENTS WITH APPARENTLY NORMAL ELECTROCARDIOGRAMS

Estimating critical values from electrocardiogram using a deep ordina convolutiona neural network

Building and training a deep spiking neural network for ECG classification

USE OF A DEEP LEARNING ALGORITHM TO PREDICT PAROXYSMAL ATRIALFIBRILLATION BASED ONPRINTED ELECTROCARDIOGRAPHIC RECORDSACQUIRED DURING SINUS RHYTHM

人工智能心电图及患者特征诊断反射性晕厥

A deep learning method for atrial fibrillation detection from paper-based ECG

Transformation from Phonocardiogram into Electrocardiogram using a Transformer-based Neural Machine Translation Model

Matching Electrocardiogram with Music Based on Emotion

基于纸质版心电图应用深度学习算法定位流出道室性心律失常起源部位的研究

Binarizing physiological time series with deep hashing neural network

Curriculum Meta-learning and Pre-fine-tuning of Deep Neural Networks for Detecting Ventricular Arrhythmias based on ECGs

IDENTIFYING THE ORIGIN OF OUTFLOW TRACT VENTRICULAR ARRHYTHMIAS BASED ON PRINTED ELECTROCARDIOGRAPHIC RECORDS WITH AN ARTIFICIAL INTELLIGENCE ALGORITHM

Artificial-Intelligence-Enhanced Mobile System for Cardiovascular Health Management

learning to identifcation from electrocardiogram data

Gated temporal convolutional neural network and expert features for diagnosing and explaining physiological time series: A case study on heart rates

A Cloud Deep Learning Service for Cardiac Disease Detection from Electrocardiogram

专     利

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