Blogs

Building Your Personal AI Adoption Roadmap: A Framework for Healthcare Professionals

AI Ethics, Privacy, and Legal Accountability in Healthcare: What Every Clinician Must Understand

Clinical Decision Support Systems: How to Navigate Them Without Losing Your Clinical Judgment

Wearable Data in Clinical Practice: How to Turn Numbers Into Actionable Insight

How to Evaluate AI Tools Without Getting Fooled by the Pitch

Building AI Agents in Healthcare: What They Are and Why Clinicians Should Care

Prompt Engineering for Clinicians: How to Get AI to Actually Work for You

The AI Landscape in Healthcare: What Every Clinician Needs to Know Right Now

The 30-Day Rule for Understanding Your Wearable Data

The False Precision Problem in Wellness Scores

What Clinical Informatics Taught Me About Reading My Own Health Data

The 72-Hour Window: When Your Wearable Data Becomes Predictive

Why Athletes and Executives Need Different Wearable Strategies

The Sleep Architecture Problem

The Science of Sleep Is More Complicated Than Most People Realize

What Heart Rate Variability Actually Measures

Why Baselines Matter More Than Population Averages

Why Your Sleep Score Lies to You (And What to Track Instead)

The Wearable Holiday

Why Your Doctor Ignores Your Wearable Data

The AI MD Rx: Chapter 1 Preview

June 3, 2026

Your Wearable Data Isn't Broken—Your Interpretation Framework Is

Your wearable is collecting thousands of health data points every day, but data alone does not improve health. This article explores why the future of preventive medicine depends on translating wearable metrics into meaningful action, helping individuals move from passive tracking to proactive, data-driven health decisions.

Why Your HRV Stays Low and What the Research Actually Says About Fixing It

When someone shows me their wearable data and says "my HRV is low," I don't look at the number first.I look at the trend.The raw number means nothing in isolation. Your baseline HRV could be 30 or...

AI Medicine's Real Revolution Happens Outside Hospitals

The conversation about AI in medicine focuses on the wrong location.Diagnostic algorithms in radiology departments. Drug discovery platforms in pharmaceutical labs. Surgical robots in operating...

How AI Is Transforming Clinical Decision Support in Modern Healthcare

The Insights Hub exists to bridge the gap between emerging technology and real-world healthcare practice. Here, Dr. Hamed Abbaszadegan shares clear, actionable perspectives on complex developments in healthcare AI, grounded in clinical informatics expertise and over a decade of leadership at the intersection of medicine and technology.

The AI MD™Insights Hub

The AI MD™
Insights Hub