US-based Weill Cornell Medicine has started a new clinical project in partnership with Cardiomatics and the Mwanza International Trials Unit located in the Lake Zone of Tanzania to study the burden of arrhythmia (irregular heartbeat) in adults with and without human immunodeficiency virus (HIV).

Under the project, data will be collected from 24 hours of ambulatory cardiac monitoring. It will be evaluated by Poland-based Cardiomatics using its advanced artificial intelligence (AI)-based cloud technology for electrocardiogram (ECG) data analysis.

Cardiomatics said that the research aims to screen for cardiac arrythmias in a mixed cohort of 1,000 people with and without HIV in northwestern Tanzania.

The participants will undergo 24 hours of ambulatory cardiac monitoring and the collected data will be analysed using advanced algorithms provided by Cardiomatics. It will screen cardiac arrythmias, including supraventricular, HRV parameters, and ventricular arrhythmia, the Poland-based software firm added.

Weill Cornell Medicine MD Cody Cichowitz said: “We were delighted to partner with Cardiomatics for our ongoing research in Tanzania. Cardiomatics offered us timely information and customer service, and the opportunity to generate customizable reports from the data that we are collecting.

“Their online interface is incredibly user-friendly and works seamlessly with the CamNtech Actiheart devices we are using to collect data.”

Cardiomatics is said to be a certified online SaaS platform that enables fast and accurate detection and analysis of various components of the ECG signal. The software is claimed to be based on algorithms trained on billions of real patients’ heartbeats to save doctors’ time and reduce their daily workload.

According to the firm, it can analyse ECG signals recorded in multiple data formats. Its technology is said to be compatible with over 25 popular devices.

Cardiomatics also claims to offer easy-to-use interface and reports for the ECG, which are accessible on a desktop, laptop, or smartphone at any time and from any location.

AI algorithms can speed up the analysis of the relationship between HIV and cardiac rhythm abnormalities in clinical trials. They will assist public health initiatives to lessen the burden of cardiovascular diseases in East Africa, said the Poland-based firm.