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Electrocardiogram Related Topics 
JAMA Cardiology
APRIL 15, 2025
This multinational cohort study examined whether an artificial intelligence (AI) algorithm could predict heart failure risk from noisy single-lead electrocardiograms.
JAMA Cardiology
AUGUST 20, 2024
Electrocardiogram results showed sinus tachycardia, QRS widening, low-voltage complexes, and ST-segment elevation. A woman in her mid-20s presented with acute fever, chest pain, and exertional dyspnea. What would you do next?
Medical Xpress - ECG
DECEMBER 13, 2022
Chen Yan and researcher Sun Qibin from the University of Science and Technology of China (USTC) achieved contactless electrocardiogram (ECG) monitoring through a millimeter-wave radar system. Recently, a team led by Prof. Their work was published in IEEE Transactions on Mobile Computing and reported by IEEE Spectrum.
HeartRhythm
MARCH 14, 2024
Artificial intelligence (AI)-enabled sinus rhythm (SR) electrocardiogram (ECG) interpretation can aid in identifying undiagnosed paroxysmal atrial fibrillation (AF) in patients with embolic stroke of undetermined source (ESUS).
Science Daily - Heart Disease
AUGUST 1, 2024
To diagnose heart conditions including heart attacks and heart rhythm disturbances, clinicians typically rely on 12-lead electrocardiograms (ECGs) -- complex arrangements of electrodes and wires placed around the chest and limbs to detect the heart's electrical activity.
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Heart BMJ
AUGUST 14, 2024
Background Researchers have developed machine learning-based ECG diagnostic algorithms that match or even surpass cardiologist level of performance. However, most of them cannot be used in real-world, as older generation ECG machines do not permit installation of new algorithms.
Circulation
FEBRUARY 4, 2024
Circulation, Volume 149, Issue 6 , Page 411-413, February 6, 2024.
Frontiers in Cardiovascular Medicine
MARCH 19, 2024
Current clinical methods to identify the SOO are based on qualitative analysis of pre-operative electrocardiograms (ECG), heavily relying on physician’s expertise. Pinpointing the SOO enhances the likelihood of a successful procedure, reducing intervention times and recurrence rates.
HCPLive
MAY 1, 2024
Implementation of an artificial intelligence-enabled ECG reduced the risk of all-cause mortality within 90 days among hospitalized patients.
Medical Xpress - Cardiology
APRIL 14, 2025
Researchers from Rutgers Health and RWJBarnabas Health have developed an artificial intelligence (AI) technology that transforms basic electrocardiogram (ECG) readings of electrical activity into sophisticated heart motion signals normally obtained via echocardiogram, potentially improving how heart disease is detected and monitored.
Frontiers in Cardiovascular Medicine
APRIL 10, 2025
ObjectiveTo compare the image quality, radiation dose, and examination time between non-electrocardiogram (ECG)-gated coronary CT angiography (ECG-less CCTA) and conventional ECG-gated CCTA using wide-detector CT, and validate its clinical applicability.MethodsIn this prospective study, 109 patients with suspected coronary artery disease were divided (..)
HeartRhythm
MARCH 19, 2025
The electrocardiogram (ECG) is important in the diagnostic evaluation of arrhythmogenic cardiomyopathy (ACM).
Medical Xpress - Cardiology
JANUARY 30, 2025
Electrocardiogram tests may someday be used with an artificial intelligence (AI) model to detect premature aging and cognitive decline, according to a preliminary study presented at the American Stroke Association's International Stroke Conference 2025, held in Los Angeles, Feb. 57, 2025.
DAIC
DECEMBER 18, 2023
Investigators trained an AI model on pre-operative electrocardiograms, discovering a new use for the 130-year-old test. Invented in the late-1800s, an electrocardiogram is a commonly deployed test that involves placing electrodes on the skin to measure the heart’s electrical activity and assess how well the heart is functioning.
HeartRhythm
SEPTEMBER 25, 2024
Biological age can be predicted using artificial intelligence (AI) trained on electrocardiograms (ECGs), which is prognostic for mortality and cardiovascular events.
Medical Xpress - Cardiology
NOVEMBER 22, 2024
Researchers at Penn State are using machine learning and existing electrocardiogram (ECG) data to help doctors make more accurate predictions.
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Science Daily - Heart Disease
FEBRUARY 25, 2025
A new AI model can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG).
Frontiers in Cardiovascular Medicine
FEBRUARY 5, 2025
If zero-shot VQA can be applied to a 12-lead electrocardiogram (ECG), a prevalent diagnostic tool in the medical field, the potential benefits to the field would be substantial. Large Language Models (LLM) are increasingly multimodal, and Zero-Shot Visual Question Answering (VQA) shows promise for image interpretation.
HeartRhythm
APRIL 28, 2024
Single-lead electrocardiograms (1L ECG) are increasingly used for atrial fibrillation (AF) detection. Automated 1L ECG interpretation may possess prognostic value for future AF among cases where screening does not result in a short-term AF diagnosis.
Science Daily - Stroke
JANUARY 30, 2025
An artificial intelligence (AI) model designed to predict a person's biological age (age of body cells and tissues) based on electrocardiogram (ECG)
HeartRhythm
JUNE 16, 2024
Initial diagnostic tools, such as the 12-lead electrocardiogram (ECG) and traditional ambulatory monitoring, frequently fall short in providing a conclusive diagnosis. Paroxysmal palpitations affect approximately 1 in 300 individuals, posing a significant challenge in correlating symptoms with cardiac rhythm disturbances.1
Frontiers in Cardiovascular Medicine
JANUARY 7, 2024
Our review study aimed to determine whether electrocardiogram (ECG) findings before PCI could serve as predictors for the occurrence of the no-reflow phenomenon. Methods and materials We systematically searched MEDLINE, Scopus, and Embase to identify relevant studies.
Frontiers in Cardiovascular Medicine
APRIL 3, 2025
An electrocardiogram demonstrated sinus rhythm with T-wave alterations and a V2R/S ratio greater than 1. Laboratory tests indicated an elevated white blood cell count, C-reactive protein, and serum amyloid A, while liver and kidney function tests were within normal limits.
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HeartRhythm
DECEMBER 31, 2024
Notwithstanding many insightful observations, the electrocardiogram (ECG) arguably ignited the big bang in our understanding of cardiac arrhythmias. Using ECG recording and deductive reasoning, our teachers and predecessors classified the bradycardias and tachycardias and proposed many mechanisms, subsequently proven to be correct.
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HeartRhythm
APRIL 30, 2024
One area of interest is the use of LLMs as an aid in the interpretation of medical data and images of electrocardiograms (ECGs). As large language models (LLM) have become popular, the use of artificial intelligence (AI) for medical diagnostics has been on the forefront of medical circles and the news.
Medical Xpress - Cardiology
OCTOBER 9, 2024
Medicine is subjecting the negative effects of alcohol on body and health to ever greater scrutiny. This should not surprise us, as alcohol is one of the strongest cell toxins that exist.
HCPLive
JUNE 14, 2024
The FDA provided 510(k) clearance for the COR-12 wireless ECG device, which was now integrated with the SpiroSphere.
Medical Xpress - ECG
AUGUST 1, 2024
To diagnose heart conditions including heart attacks and heart rhythm disturbances, clinicians typically rely on 12-lead electrocardiograms (ECGs)—complex arrangements of electrodes and wires placed around the chest and limbs to detect the heart's electrical activity.
HeartRhythm
APRIL 30, 2024
The electrocardiogram (ECG) had been used for the prediction of biological age (ECG-BA). Chronological age (CA) is a traditional powerful risk factor for aging-related diseases.
Frontiers in Cardiovascular Medicine
FEBRUARY 19, 2025
Patients had routine 12-lead electrocardiograms (ECGs) regardless of presenting complaints. Data regarding AF screening in conflict countries emergency departments (ED) is lacking.MethodsWe included consecutive patients >40 years old who reported to the ED of a Syrian tertiary centre between July 2024 and September 2024.
Frontiers in Cardiovascular Medicine
APRIL 12, 2024
electrocardiogram, electroencephalogram, cardiac monitor), creating artifacts that hinder their interpretation. In emergencies where obtaining an electrocardiogram is crucial, the need for more consensus on reducing electrical artifacts in patients with DBS becomes a significant challenge.
HeartRhythm
APRIL 30, 2024
Artificial intelligence enhanced 12-lead electrocardiogram (AI-ECG) for detecting diastolic function and filling pressure has been developed. When patients present with dyspnea or shortness of breath in the emergency department (ED), it is important to promptly differentiate whether the symptoms are cardiac or extracardiac in origin.
Medical Xpress - ECG
JUNE 6, 2023
Mount Sinai researchers have developed an innovative artificial intelligence (AI) model for electrocardiogram (ECG) analysis that allows for the interpretation of ECGs as language.
Medical Xpress - Cardiology
FEBRUARY 22, 2024
Now, researchers and clinicians at Mayo Clinic are using artificial intelligence (AI) technology to flag heart problems earlier, boosting the abilities of a diagnostic test that has been around for over a century—the electrocardiogram (ECG).
HeartRhythm
APRIL 30, 2024
Background: Characteristic electrocardiogram (ECG) changes in patients with Brugada-type ECG are augmented by a large meal, called “the full stomach test”, which has been reported to be associated with a history of life-threatening events.
JAMA Cardiology
DECEMBER 17, 2024
The initial electrocardiogram showed type A preexcitation syndrome, with obvious ST-segment depression in leads V3 through V5 and positive delta wave. A man in his mid-50s presented with chest pain lasting 30 minutes. What would you do next?
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Medical Xpress - Cardiology
NOVEMBER 12, 2024
Worldwide, over 300 million electrocardiograms (EKGs) are performed each year, with one-third of those taking place in the United States. Despite being so widely used, the technology of EKGs has been unchanged for decades.
Frontiers in Cardiovascular Medicine
MARCH 12, 2025
The electrocardiogram (ECG) and electrogram (EGM) parameters were evaluated and other electrophysiological characteristics were analyzed using a three-electrode configuration test.ResultsSeven capture modes [right ventricular septal (RVS)+left ventricular septal (LVS)+LBB, RVS+LBB, LVS+LBB, RVS+LVS, RVS, LVS, and LBB] were utilized in the study.
Frontiers in Cardiovascular Medicine
FEBRUARY 14, 2024
Background Artificial intelligence (AI) has shown promise in the early detection of various cardiac conditions from a standard 12-lead electrocardiogram (ECG). However, the ability of AI to identify abnormalities from single-lead recordings across a range of pathological conditions remains to be systematically investigated.
HeartRhythm
JUNE 4, 2024
The ability to record an electrocardiogram (ECG) with a smartwatch (readily available without medical prescription), is a small revolution for cardiology.1 1 It allows individuals to play a more active role in their health care, improving understanding of cardiac function and its pathologies among individuals with and without cardiac disease.2
HeartRhythm
AUGUST 31, 2024
Convolutional neural networks (CNNs) have been used to build atrial fibrillation (AF) prediction models based on analysis of a sinus rhythm 12-lead electrocardiogram (ECG) using large datasets. Such datasets are not readily available for all clinical scenarios or diseases.
Medical Xpress - ECG
MAY 17, 2023
VTT Technical Research Centre of Finland has developed a new sustainable electrocardiogram (ECG, also known as EKG) patch that is fully recyclable and made of biomaterials. The device is modular, so electronic components can be easily removed from the disposable patch and used again.
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DAIC
APRIL 7, 2025
Viz HCM uses artificial intelligence to analyze all 12-lead electrocardiograms (ECGs) from across a health system to identify suspected HCM cases, notify cardiology care teams and increase the likelihood that patients get the right follow-up and diagnosis.
52 Medical Xpress - Cardiology
APRIL 9, 2025
In a new study, scientists at the University of Illinois Urbana-Champaign used a "smart shirt" equipped with an electrocardiogram to track participants' heart-rate recovery after exercise and developed a tool for analyzing the data to predict those at higher or lower risk of heart-related ailments.
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