AI Operations

Model Registry

Inventory of all deployed and shadow AI models. Tagged by modality, version, and deployment ring.

Total models
18
12 production · 4 canary · 2 shadow
Avg accuracy
94.6%
weighted by call volume
Inference calls (30d)
9.2M
↑ 14% vs prior period
P95 latency
318ms
SLO 500ms · within budget
Registry
ModelModalityAccuracyP95 LatRing30d callsStatus
FractureNet
v4.2.1
X-Ray
97.8%
82msProduction4.2MHealthy
PulmoScan
v3.8.4
CT Chest
96.4%
218msProduction2.1MHealthy
NeuroVision
v5.1.0
MR Brain
94.7%
412msProduction880kDrift watch
CardioMR
v2.4.0
MR Cardiac
92.1%
540msCanary 10%84kCanary
MammoAssist
v6.0.2
Mammography
95.8%
184msProduction1.4MHealthy
AbdomenSeg
v1.9.3
CT Abdomen
91.3%
380msShadow210kShadow
BoneAge
v2.1.0
X-Ray Hand
93.6%
96msProduction320kHealthy