Related Experiment Video

Updated: Nov 6, 2025

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

1.2K

Artificial intelligence-enabled fully automated detection of cardiac amyloidosis using electrocardiograms and

Shinichi Goto1,2,3, Keitaro Mahara4, Lauren Beussink-Nelson5

  • 1One Brave Idea and Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.

Nature Communications
|May 12, 2021
PubMed

Insights

Artificial intelligence (AI) models can now detect cardiac amyloidosis (CA) using electrocardiograms (ECG) or echocardiograms, improving early diagnosis for this rare heart condition.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Artificial Intelligence in Medicine

Background:

  • Rare cardiac conditions like cardiac amyloidosis (CA) present diagnostic challenges due to overlapping symptoms with common disorders.
  • Delayed diagnosis of CA hinders timely access to approved therapies.
  • Artificial intelligence (AI) offers potential for early detection of rare diseases.

Purpose of the Study:

  • To develop and validate an AI-driven pipeline for detecting cardiac amyloidosis (CA).
  • To assess the performance of AI models using electrocardiograms (ECG) and echocardiograms as input data.
  • To evaluate the potential of AI in improving the diagnostic pathway for CA.

Main Methods:

  • Developed AI models utilizing ECG and echocardiogram data for CA detection.
  • Trained and validated models across multiple academic medical centers (AMCs).
  • Simulated real-world deployment scenarios to assess predictive value and recall.

Main Results:

  • AI models achieved high C-statistics for CA detection: 0.85-0.91 for ECG and 0.89-1.00 for echocardiography.
  • Simulated deployment showed a positive predictive value (PPV) of 3-4% for the ECG model at 52-71% recall.
  • Pre-screening with ECG significantly enhanced echocardiography model performance, increasing PPV from 33% to 74-77% at 67% recall.

Conclusions:

  • An automated AI strategy was developed to enhance the detection of cardiac amyloidosis.
  • The AI pipeline demonstrates potential for improving diagnostic efficiency in rare cardiac diseases.
  • The developed approach is expected to be generalizable to other rare cardiac conditions.

More Related Videos

Ultrasonic Assessment of Myocardial Microstructure10:53

Ultrasonic Assessment of Myocardial Microstructure

Published on: January 14, 2014

5.7K
Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function05:03

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function

Published on: December 11, 2019

8.9K

Related Concept Videos

Acute Coronary Syndrome III: Diagnostic Studies01:30

Acute Coronary Syndrome III: Diagnostic Studies

Diagnosing acute coronary syndrome or ACS begins with a thorough patient history. Notable symptoms include central, crushing chest pain radiating to the left arm, neck, jaw, or back, along with shortness of breath, sweating (diaphoresis), nausea, vomiting, dizziness, and palpitations.It is crucial to note any history of cardiac illnesses and assess risk factors, including age, gender, smoking, hypertension, diabetes, hyperlipidemia, and a sedentary lifestyle.During physical examination, vital...
62
Dysrhythmias V: Evaluating Dysrhythmias01:30

Dysrhythmias V: Evaluating Dysrhythmias

Dysrhythmias, also known as arrhythmias, are disturbances in the heart's rhythm that range from benign to life-threatening. A thorough evaluation is crucial for appropriate management and involves a comprehensive medical history, physical examination, and various diagnostic tests.Medical HistorySymptoms: Collect detailed information on palpitations, dizziness, syncope, chest pain, and fatigue. Note their onset, frequency, and triggers.Previous Cardiac Issues: Document any history of heart...
172
Imaging Studies for Cardiovascular System I:Echocardiography01:17

Imaging Studies for Cardiovascular System I:Echocardiography

Cardiac imaging studies encompass a wide range of noninvasive and minimally invasive techniques designed to visualize the heart's structure and function in detail. One such technique is echocardiography, which uses high-frequency ultrasound waves to produce detailed images of the heart, known as echocardiograms.
Indications: Echocardiography is utilized to diagnose heart failure, valve disorders, and myocardial infarction. It also assesses cardiac structures' size, shape, and motion,...
548
Electrocardiogram01:29

Electrocardiogram

An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
4.4K
Cardiomyopathy III: Hypertrophic Cardiomyopathy01:29

Cardiomyopathy III: Hypertrophic Cardiomyopathy

Hypertrophic cardiomyopathy, or HCM, is an autosomal dominant genetic disorder characterized by asymmetric left ventricular hypertrophy without ventricular dilation. It is more common in men and is typically diagnosed in young, athletic adults.EtiologyHCM is primarily genetic and is caused by mutations in genes encoding sarcomeric proteins. Researchers have identified over 1400 mutations across at least 11 different genes. Among these, the most frequently occurring mutations are found in the...
114