"100% Full-Color Edition with Pictorial Illustrations"
AI is already shaping how patients are diagnosed, treated, and monitored.
The real question is simple.
Do you understand it well enough to trust it?
This book gives you that edge.
Artificial Intelligence in Medicine breaks down what most people complicate. No noise. No theory overload. Just what matters in real clinical settings.
You will see how AI is actually used across healthcare.
You will understand where it works.
You will see where it fails.
And most importantly, you will know what to do with it.
Inside, you will discover:
- How AI supports diagnosis in radiology, dermatology, and critical care
- What clinical prediction models really mean for patient outcomes
- Where bias enters medical algorithms and how it affects real people
- How to question AI outputs before making decisions
- The role of ethics, data, and accountability in modern healthcare
- Practical scenarios you can apply immediately in your work
This is not a textbook you struggle through.
This is a guide you use.
Every section answers real questions clinicians, students, and healthcare leaders are already asking.
If you work in healthcare, this is no longer optional knowledge.
If you are building in health tech, this is your foundation.
If you care about where medicine is going, this is your starting point.
You can ignore AI.
Or you can understand it and stay ahead.
Get your copy now. Then get one for someone who needs clarity in this space.
