  The search and retrieval of digital histopathology slides is an important
task that has yet to be solved. In this case study, we investigate the clinical
readiness of three state-of-the-art histopathology slide search engines,
Yottixel, SISH, and RetCCL, on three patients with solid tumors. We provide a
qualitative assessment of each model's performance in providing retrieval
results that are reliable and useful to pathologists. We found that all three
image search engines fail to produce consistently reliable results and have
difficulties in capturing granular and subtle features of malignancy, limiting
their diagnostic accuracy. Based on our findings, we also propose a minimal set
of requirements to further advance the development of accurate and reliable
histopathology image search engines for successful clinical adoption.
