Obstetric & gynecology clinical companion

Don't hand a clinical decision to a black box.

ObGynAssist™ is one clinical companion for obstetrics and gynecology — ten modules, from fetal-growth staging and twin assessment to ectopic workup, thromboprophylaxis and recurrent pregnancy loss — all built on a deterministic engine: the same data always yields the same answer, every threshold traces to a named guideline, and every decision can be audited rule by rule.

10Clinical modules
425Guideline-wired rules
2,729Passing tests
50,000 / 50,000Bit-identical runs
v1.113.0Engine version

The problem

Why a language model isn't enough.

A general AI can sound right and still be wrong in ways you can't see. In obstetric and gynecologic clinical decision-making, three failure modes are disqualifying — any one of them on its own.

01 / Non-reproducible

Same data, different answer

Sampling is built into a language model. Ask twice, get two answers. A clinical decision can't rest on a coin flip that's invisible to the clinician.

02 / Hallucination

Thresholds that don't exist

Invented cut-offs, invented citations. Here the cost of a confident fabrication isn't a typo — it's a missed FGR or a mistimed delivery.

03 / Opacity

No way to ask "why?"

When a decision is questioned, you need to know which step fired which rule. A black box can't show its work — and these aren't tuning bugs, they're inherent.

The answer

Not intuition — a deterministic engine.

We didn't fine-tune a model. We built a rule engine that turns input into a sourced clinical plan through a fixed seven-step pipeline — and proves it every time.

A language model

  • Stochastic — output varies run to run
  • Can invent thresholds and sources
  • No audit trail — can't replay a decision
  • Reasoning is opaque and unversioned
  • Often needs the network and the cloud

The ObGynAssist engine

  • Deterministic — identical input, identical output
  • Every threshold wired to a named guideline
  • firedRules[] records exactly what fired
  • Stamped with engineVersion + rulesetSHA
  • Runs entirely on-device — no cloud call
Determinism

Not intuition. The same biometry and Doppler produce a byte-identical plan — yesterday, today, and five years from now.

Sources

Not guesswork. Each decision names the RCOG, NICE, ISUOG, ACOG or INTERGROWTH-21st reference behind it.

Traceability

Not opacity. When a plan is questioned, the audit trail shows precisely which step fired which rule.

One umbrella

Ten modules. One companion.

ObGynAssist spans the OB-GYN day: fetal growth and twins, eight pregnancy-care calculators, and gynecology — each module self-contained, each grounded in its own guideline, all sharing the same deterministic foundation.

Flagship

FetalGrowth

FGR / SGA / AGA / LGA staging, Doppler analysis and eight twin pathways.

RCOG · ISUOG · NICE · Delphi
PregAssist · 8

Pregnancy suite

Dating, ectopic, aspirin & VTE prophylaxis, thyroid, hyperemesis, ASA and CMV.

RCOG GTG · NICE NG · ISUOG
GynAssist · 1

Recurrent pregnancy loss

Evidence-based workup with APS- and PRISM-gated treatment logic.

ESHRE 2022 · RCOG GTG 17
The flagship · FetalGrowth

The deepest module: the whole spectrum of growth.

FetalGrowth is where the engine runs deepest — one module spans every size classification and both pregnancy types, and reads a trajectory rather than a single measurement.

FGR · SGA

Early- and late-onset growth restriction, staged by Doppler.

AGA

Appropriate-for-GA, with wellbeing and maternal overlays.

LGA · Macrosomia

Large-for-GA and macrosomia, diabetes-stratified.

Twin pairs

DCDA / MCDA / MCMA with TTTS, TAPS, sIUGR and discordance.

A trajectory, not a snapshot.

Crossing centiles, accelerating, stagnant, or deteriorating on Doppler — the engine evaluates how growth is moving, not just where it sits today.

8 pathways 4 centile standards 44 phenotypes
See its work

One case, falling through the engine.

No black box. Pick a case and watch it descend the real pipeline — single-field sanity and cross-field plausibility gates, an 80-way routing decision, 425 rules narrowed to the handful that actually fire, a 14-layer coherence pass, then a stamped, replayable plan. Same input, same descent, every time.

    A faithful illustration of the real nine-stage pipeline (ClinicalPipeline.evaluate): stage names, rule IDs and table sizes are the engine's own. Reduced to its skeleton for the web — the shipping engine weighs many more inputs and modifiers. Not for clinical use.

    The proof

    The numbers behind the structure.

    Measured on the flagship FetalGrowth engine — the same testing discipline backs every module in the app.

    0
    Graded synthetic cases
    0%
    Oracle concordance
    0
    Under-calls · missed danger
    0
    Over-calls · false alarms
    50,000 / 50,000

    runs bit-identical across 50 configurations × 1,000 seeds — determinism, proven.

    < 0.4 ms

    p95 latency. A full sourced plan computes in real time, on the phone.

    58 cards

    guideline reference cards behind 425 rules — RCOG, NICE, ISUOG, ACOG, INTERGROWTH-21st.

    Concordance is measured against an independent guideline oracle on synthetic cases — it reflects agreement with standard-of-care references, not neonatal outcomes. A prospective clinical-validation study is in design. Read the full validation →

    The app

    From first tap to a sourced plan.

    The most correct engine changes nothing if it can't be used. ObGynAssist puts the engine in a calculator clinicians trust — enter biometry and Doppler, get a staged classification, an acuity label, surveillance timing and the citations behind every line. Shown below in the flagship FetalGrowth module; every module follows the same flow.

    • Real-time recompute as you type — 250 ms.
    • Non-directive labels — classification, not orders.
    • Patient data never leaves the iPhone.
    ObGynAssist entry screen — pregnancy type and gestational age slider, headlined 'Biometry to plan in seconds'
    Sourced result — EFW with its centile across four standards (Hadlock, WHO, INTERGROWTH-21st, NICHD), late-onset FGR staging, and the delivery-criteria note; headlined 'Sourced results — not a black box'
    Clinical plan — FGR Stage 1 admit disposition with a 'deliver this admission' window, escalation triggers, and a one-tap patient report; headlined 'From finding to a clear plan'
    Get started

    Better than AI — because it has to be.

    Not faster, not flashier. More reliable, more traceable, more correct. ObGynAssist is coming to the App Store as a Medical Reference companion. For early access or clinical partnership, get in touch.

    Or email info@obgynassist.com

    Coming to the App Store · Medical Reference