Medical Device Network

Daily Newsletter

21 November 2023

Daily Newsletter

Heart Test and Icahn Mount Sinai partner to develop ECG AI algorithms

The licences will enable HeartSciences to access a collection of AI-driven ECG algorithms.

Heart Test Laboratories (HeartSciences) and Icahn School of Medicine at Mount Sinai (Icahn Mount Sinai) have finalised licence agreements for the development and commercialisation of artificial intelligence (AI) algorithms and assets for electrocardiography (ECG).

The licences make Icahn Mount Sinai a shareholder in HeartSciences.

Icahn Mount Sinai's licences provide the right to use various patented and unpatented AI-powered ECG/EKG algorithms and technologies to screen and diagnose cardiovascular disease.

The licences will allow HeartSciences to access a collection of AI-driven ECG algorithms.

HeartSciences aims to offer these algorithms using a cloud-based, hardware-agnostic platform, thereby enabling it to accept ECGs from several existing ECG devices across the globe, including its MyoVista device.

A database of ECG records was used to develop the algorithms.

The AI cardiovascular algorithms are said to be based on technology developed by faculty from Icahn Mount Sinai, licensed to HeartSciences by Mount Sinai.

HeartSciences CEO Andrew Simpson said: “We continue to advance initiatives that fundamentally transform and de-risk HeartSciences. The closing of our licences with Icahn Mount Sinai now propels us forward with our cardiovascular disease AI-ECG development programmes.

“Combined with the recent creation of a new FDA product classification for AI-ECG algorithms that we believe paves the way for a more structured and quicker 510(k) process of our technologies, we have clear focus on our target milestones.”

Can Generative AI transform the medical devices industry?

The healthcare, pharma, and medical devices industries are often risk-averse compared to other sectors when adopting new technologies. However, mainly due to COVID-19, these sectors have witnessed an acceleration in digital transformation, which has improved efficiencies and enhanced patient outcomes. AI can revolutionize the drug discovery process and significantly reduce the time and cost to get a drug to market, particularly in areas of unmet need. There is also huge potential for AI in medical diagnostics. However, using healthcare data for AI development raises data privacy concerns.