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Explamable armacial intelligence lad as alcachne much mnterest in medscaneTechnically. the problem of expRingbiltyisas old as A litselland cassic Al reore sented comprebensible retraceable approaches. rowever, their weakness was an dealing with uncertainties of the real world. Through the introduction of probabilsbc leanne, applications became ancreasangly successial, but ancreasmnely opaqueEXDRIngble A deals with the implementation of transoarency and traceabinto ofstalastical black box machine learmine meteois, parucularly deep teaming tools We argue that there is a need to go beyond explainable Al. To reach a level ofexplamable medteme we need causability, in the same way that usabilty encomfor the quality of explanations. In this article, we provide some necessary definiDe, interpretation and ol human explanation in hastopatholosy. the main contbu-son of this anscee ss the noson of causabest, wasch as assferentated front explainabilty in that causabilty as a property of a person while explainabity ispropery of a system

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