Mount Sinai Opens AI Research Lab for Cardiac Catheterization

Sep 16, 2025
Mount Sinai Fuster Heart Hospital has launched the Samuel Fineman Cardiac Catheterization Artificial Intelligence Research Lab to enhance interventional cardiology through AI.

Mount Sinai Fuster Heart Hospital has announced the opening of the Samuel Fineman Cardiac Catheterization Artificial Intelligence Research Lab. This new facility aims to leverage artificial intelligence to advance interventional cardiology and improve patient care and outcomes.

Dr. Annapoorna Kini, who leads the Cardiac Catheterization Lab at Mount Sinai, will direct the new AI research lab. The lab will focus on integrating AI technologies to support decision-making in complex heart procedures, enhance patient engagement, and optimize treatment strategies.

The lab's research will cover various aspects of interventional cardiology, including procedural and educational applications. By collaborating internally and externally, the lab aims to uncover insights from existing data that could significantly impact healthcare delivery.

The lab is named in memory of Samuel Fineman, whose generous donation helped establish the facility. The inaugural AI Symposium will be hosted by Dr. Kini and her team at The Mount Sinai Hospital, marking the beginning of this innovative venture.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Life AI Weekly

Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.