  Recent developments in AI have provided assisting tools to support
pathologists' diagnoses. However, it remains challenging to incorporate such
tools into pathologists' practice; one main concern is AI's insufficient
workflow integration with medical decisions. We observed pathologists'
examination and discovered that the main hindering factor to integrate AI is
its incompatibility with pathologists' workflow. To bridge the gap between
pathologists and AI, we developed a human-AI collaborative diagnosis tool --
xPath -- that shares a similar examination process to that of pathologists,
which can improve AI's integration into their routine examination. The
viability of xPath is confirmed by a technical evaluation and work sessions
with twelve medical professionals in pathology. This work identifies and
addresses the challenge of incorporating AI models into pathology, which can
offer first-hand knowledge about how HCI researchers can work with medical
professionals side-by-side to bring technological advances to medical tasks
towards practical applications.
