Clinical AIACADEMY
The learning path

MODULE 5 / 8

Evaluating & Validating AI Tools in Clinical Practice

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Section 1 of 10

In this module

Topics to explore:

  • Interpret key AI performance metrics (sensitivity, specificity, AUROC, PPV/NPV) in a clinical context
  • Distinguish between internal and external validation and explain why external validation matters
  • Identify common red flags in vendor claims and AI research papers
  • Describe the FDA clearance pathways (510(k), De Novo, PMA) and what CE marking means under the EU MDR
  • Apply a structured set of questions before adopting any AI tool in clinical practice

Slide 1 – Why Evaluating AI Tools Is a Clinical Skill

Every week, a new AI product promises to transform patient care.
But not every claim holds up under scrutiny.

As a healthcare professional, evaluating AI tools is now part of your clinical responsibility — just like reading a drug trial or interpreting a lab result.
This module gives you the framework to do it confidently.