Many powerful AI models are essentially black boxes — they give an answer without saying why. For a tool that influences medical decisions, that is a problem: doctors, patients and regulators must understand the reasoning behind a flag.
Explainable AI answers this. Heatmaps highlight the exact pixels that drove a decision, saliency maps show which image regions mattered, and models are designed to be interpretable by construction. The result: a tool doctors can question, contest and ultimately approve.
Techniques in use
- Heatmaps that highlight suspicious regions
- Saliency maps showing influential features
- Confidence scores that signal when to defer to a human
- Audited decision logs for every case