The increasing use of connected devices in medical laboratories generates diverse Internet of Medical Things (IoMT) settings whose real network architecture is not yet well understood. Therefore, in this multicentric in situ evaluation of IoMT topologies in eight fertility and andrology laboratories in Morocco (n=5 for assisted reproductive technology (ART); n=3 for andrology), our main objective is to classify the topology for each laboratory based on the biosensitive sample (gametes and embryos) analysis site, with topology reconstruction. The topology classification and centrality analyses included degree, density, betweenness, and closeness. Networks consisted of 14–34 nodes and 13–33 edges with densities of 0.06–0.14. Despite the large disparities in network scale, technology, and architecture, all eight networks fulfilled (E=N-1), suggesting a common sparse tree-like backbone at the core of star-centric and hybrid star-cellular architectures. Centrality profiles revealed significant site-specific organization, with maximum degree centrality from 37% to 82% and maximum betweenness from 71% to 99%, indicating highly centralized networks and structural bottlenecks. These results provide an empirical baseline for future optimization scenarios in ART and andrology laboratories with IoMT, considering the risk of electromagnetic interference linked to sensitive biological samples and the maintenance of equipment.