Google’s 2025 research paper “The Anatomy of a Personal Health Agent” describes a prototype multi-agent AI framework designed to turn raw health data into personalized, evidence-based guidance. In this post we will review the paper and the urgent need for this technology and the new type of AI Service that it represents. The Urgent Need … Continue reading The Google Personal Health Agent: A Blueprint for the Future of Personalized, Preventative Healthcare
Tag: ai
Microsoft’s MAI-DxO and SD Bench: A New Chapter in Diagnostic AI
As a physician with a deep interest in implementing technological advancements to improve healthcare delivery and physician satisfaction, I’ve followed the progression of medical artificial intelligence (AI) with cautious optimism. The recent unveiling of Microsoft’s MAI-DxO (Medical AI Diagnostic Orchestrator) and its companion benchmark, SD Bench (Sequential Diagnosis Benchmark), represents a notable leap forward—both in … Continue reading Microsoft’s MAI-DxO and SD Bench: A New Chapter in Diagnostic AI
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?
Google AI in Healthcare: An Overview for Medical Professionals
Google has rapidly become a major player in the healthcare AI space, developing a suite of tools with the potential to revolutionize everything from drug discovery to patient care. This post explores some of Google's key AI initiatives in healthcare, with a particular focus on the powerful foundation models driving these advancements. Foundation Models: The … Continue reading Google AI in Healthcare: An Overview for Medical Professionals
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
Navigating the Fragmented Healthcare Data Landscape: Building Towards a Future of Integrated AI-Driven Care
The healthcare industry stands on the edge of a technological revolution, with advances in artificial intelligence (AI) promising new levels of precision, efficiency, and personalization. Yet, the foundation of this transformation—healthcare data—remains fragmented and siloed across institutions, systems, and devices, limiting AI’s ability to unlock its full potential. This post dives into the challenges of … Continue reading Navigating the Fragmented Healthcare Data Landscape: Building Towards a Future of Integrated AI-Driven Care
Primer on Large Language Models and Healthcare Integration
This is a post that I have been planning to write for a while, but given the scope of change and constant expansion within this field it has proven difficult to stay up-to-date on the most current data models. That being said, large language models (LLM) are transforming all areas of medicine more quickly than … Continue reading Primer on Large Language Models and Healthcare Integration
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
Cardio Cypher 