Cardiology, in particular, offers a clear view into why so many AI solutions struggle to scale and what differentiates those that are poised for adoption. Across healthcare, AI-enabled diagnostic solutions…

Anumana was founded in 2021 as the culmination of a joint effort between the Mayo Clinic and nference, an early entrant to the field of machine learning for cardiology-focused clinical…

Why Standard BERT Isn't Enough for Structured EHRs BERT revolutionized natural language processing, but electronic health records (EHRs) present unique challenges that standard language models weren't designed to handle. While BERT…

Introduction: How can we teach an AI to see the connections between a patient’s heart rhythms and their clinical notes? In healthcare, critical information is spread across different data types…

Clinical AI systems often include automated analysis of medical time series, such as electrocardiogram (ECG), to serve as valuable diagnostic decision support tools. While many cardiovascular diseases are traditionally measured…

As we strive to improve clinical decison making and patient outcomes – predictive analytics are a wonderful tool to help us in that goal. But you can’t just decide to throw predictive analytics into…

Featured science studies simultaneously published in JACC and presented at AHA 2025 looked at artificial intelligence applied to an electrocardiogram (ECG-AI) for heart failure (HF) risk, treatment of Chagas disease, early aspirin withdrawal in…

The rapid growth and widespread adoption of large language models (LLMs) across real-world applications offer a host of new opportunities for the healthcare sector. Hospitals and clinics are starting to…

AI is transforming diagnostics by identifying subtle patterns, streamlining workflows, and accelerating time to diagnosis. This piece will explore how AI supports earlier and more accurate decision-making, the importance of…

After three decades climbing the ranks at medical device giants like Boston Scientific and Baxter, a seasoned executive faced a choice that would have given most leaders pause: take the…