Published Scientific Evidence
Category: (Amyloidosis)
Anumana’s ECG-AI™ technology is supported by one of the most extensive evidence bases in cardiovascular AI. This library provides direct access to our peer-reviewed validation studies and broader body of clinical research.
July
02
2021
July 02, 2021
Mayo Clinic Proceedings
Artificial Intelligence-Enhanced Electrocardiogram for the Early Detection of Cardiac Amyloidosis
The objective of this study was to develop an artificial intelligence (AI)–based tool to detect cardiac amyloidosis (CA) from a standard 12-lead electrocardiogram (ECG). 12-lead ECG data from 2541 patients…
April
30
2021
April 30, 2021
Journal of the Americal College of Cardiology (JACC) / ACC.21
Artificial-Intelligence Enhanced Screening For Cardiac Amyloidosis By Electrocardiography
Cardiac amyloidosis (CA) is a life-threatening disease with poor outcomes often related to delayed diagnosis. We developed an artificial-intelligence (AI) based screening tool that identifies CA from the 12 lead…