NT Clinical Insight does not compete with AI.
It makes AI usable within institutional boundaries — for the first time.
Ten integrated layers process each case from raw image to validated signed report. All patient data remains within institutional boundaries at all times.
A diagnostic stability scalar from 0.0 → 1.0. Unlike a raw classification score, POSM-PATH reflects whether a case is safe to finalize or requires intervention.
def compute_posm(mdc, scs, mca):
High = (
0.8*rcs +
0.5*mdc +
0.9*xzd +
0.1*cpi +
0.1*rpi
)
# High confidence + contradictory signals
if scs < 0.4 and mdc > 0:
score *= 0
# Hard cap: material adequacy override
if mca < 0.3:
score = min(score, 0.4)
return round(score, 4)Early access for pathology departments and digital health institutions. We review submissions selectively.