Tag: Cardiology

How Can Blockchain Technology help to Revolutionize Healthcare: Cardiovascular Focus

Cardiovascular medicine stands at the forefront of digital transformation, with an expanding ecosystem of wearables, AI tools, remote monitoring devices, and interconnected data sources. However, as the quantity and sensitivity of patient data continue to increase, so do the challenges: data fragmentation, privacy concerns, interoperability failures, and administrative inefficiencies. Blockchain, often associated with cryptocurrency, is … Continue reading How Can Blockchain Technology help to Revolutionize Healthcare: Cardiovascular Focus →

Tempus ECG-AF Algorithm: Enhancing Early Detection of Atrial Fibrillation

We have written previously on this blog about the difficulty with atrial fibrillation (AF) screening - primarily because of a lack of cost-effective measures, screening is currently not recommended by the USPSTF. In this setting, a 2019 ground breaking study from the Mayo Clinic showed that artificial intelligence (AI) can make accurate predictions about the presence atrial … Continue reading Tempus ECG-AF Algorithm: Enhancing Early Detection of Atrial Fibrillation →

AI-Guided Catheter Ablation for Persistent Atrial Fibrillation: A Game-Changer?

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia, affecting millions worldwide. While pulmonary vein isolation (PVI) has been the cornerstone of catheter ablation for AF, its long-term success remains limited, particularly in patients with persistent or long-standing persistent AF. Many patients experience recurrence, often due to non-PV triggers and underlying arrhythmogenic substrates that … Continue reading AI-Guided Catheter Ablation for Persistent Atrial Fibrillation: A Game-Changer? →

Digital Twins in Healthcare: A Data-Driven Evolution

The concept of digital twins is rapidly transforming healthcare, offering dynamic, data-driven models that mirror the physiological and pathological states of patients. These virtual replicas allow clinicians to simulate treatments, predict disease progression, and optimize healthcare delivery, paving the way for personalized medicine. Originally pioneered in the aerospace and manufacturing industries, digital twin technology is … Continue reading Digital Twins in Healthcare: A Data-Driven Evolution →

Grand Rounds: AI in Cardiology and Healthcare

I recently gave Cardiology Grand Rounds at Northwestern Medicine Lake Forest Hospital. The discussion is a good primer on machine learning and AI as well as a review of how these applications differ from more traditional statistics. I present a case study that describes an algorithm we built to help diagnose and localize atypical atrial … Continue reading Grand Rounds: AI in Cardiology and Healthcare →

Samsung Files Patent for Novel AI Algorithm that Translates Continuous PPG Waveforms into ECG Signals

A PPG-ECG waveform pair. Source: Figure 1 As reported by Wearable, Samsung has filed a patent for a system that enables continuous electrocardiogram (ECG) monitoring of arrhythmias such as atrial fibrillation, using its Galaxy smartwatches. Although a number of smartwatches (Samsung, Apple, FitBit, Withings) already allow users to record single lead ECG signals, they currently … Continue reading Samsung Files Patent for Novel AI Algorithm that Translates Continuous PPG Waveforms into ECG Signals →

The Frontier of Atrial Fibrillation Detection

Atrial fibrillation (AF), a frequently encountered cardiac arrhythmia, presents notable diagnostic challenges to healthcare practitioners. Despite substantial advancements in cardiac care and technology, the early detection of AF continues to be an elusive task with important consequences. As I discussed in my last post, advances in artificial intelligence (AI) may be creating new avenues to assist … Continue reading The Frontier of Atrial Fibrillation Detection →

Atrial Fibrillation Screening: Can AI break the barrier?

Researchers at the Mayo Clinic published a study in 2019, showing that a convolutional neural network (CNN) enabled artificial intelligence (AI) algorithm could accurately predict the presence of paroxysmal atrial fibrillation (AF) from an electrocardiogram (ECG) taken in sinus rhythm (SR).  The study was groundbreaking in the sense that even expertly trained electrophysiologists are not … Continue reading Atrial Fibrillation Screening: Can AI break the barrier? →