**2. Materials and Methods**

Hybrid Intelligence Systems include several strategies with the goal of enhancing the capabilities of either the human, the machine or both of them. A taxonomy has been proposed based on the task characteristics, learning paradigm, AI-Human interaction, and Human-AI interaction [3].

We describe below several techniques that can be grouped under the term Human-inthe-Loop Machine Learning (HITL-ML), and can be applied between others, to the Cancer prognosis and diagnosis scenarios, where training samples are scarce and domain expert knowledge is expensive.
