Built in Newcastle, Australia

Penfield softwareObserve & Understand02 · In development

Penfield FindingsFind what requires attention.

Penfield Findings is AI-assisted abnormality detection and analysis software. It detects, localises, segments and quantifies candidate abnormalities, then tries to prove itself wrong.

Independent verification models challenge every finding. Confidence and uncertainty are shown explicitly, findings are compared across time, and each exists as a real object inside Penfield Fusion.

Discuss early access

How Penfield Findings works

DetectionLocalisationSegmentationQuantificationIndependent verificationEvidence-grounded report

Detection that knows
when to say no.

Every finding carries a status. Findings only reports what survives verification, and abstains when the data cannot support a conclusion.

FindingsCONCEPT
Penfield workspace P
Detection mapT1 + FLAIR
F03

DETECTOR f–det 0.4.1→INDEPENDENT VERIFIER f–ver 0.2.3→CHALLENGE TESTS→ABSTENTION GATE

Finding 03SCAN PF–001
Location
Left temporal region
Dimensions
18.4 × 12.1 × 9.7 mm
Volume
1.36 cm³
Detected on
T1 · FLAIR
Confidence
94%
Verification
2 / 2 models agree
Status
REVIEW

A finding exists as an object inside Fusion, measured, verified and traceable to its evidence.

Illustrative interface · Synthetic findings · not patient resultsDetect · Verify · Challenge · Abstain
For research use only

Illustrative findings on synthetic anatomy. Not diagnostic output.

  • High confidence
  • Review
  • Uncertain
  • Out of distribution
  • Insufficient data

Detect. Verify. Challenge.
Abstain when uncertain.

01

Detect

Candidate abnormalities are located, segmented and quantified across the available modalities.

02

Verify

Independent models re-examine each candidate. Agreement is required before confidence is shown.

03

Challenge

Every finding is tested against competing explanations: artefacts, normal variation, out-of-distribution scans.

04

Abstain

When the evidence is insufficient, Findings says so. Uncertainty is exposed, never hidden.

No sentence without
a source.

Findings reports are generated only from verified, structured evidence. Each statement can be traced back to the scan, modality, coordinates, measurements, segmentation and model that produced it, then re-checked before a clinician ever reads it.

Verified measurementsStructured findingsReport generationAutomated factual verificationClinician review

Report draft / Example

“A region of abnormal signal measuring 18.4 × 12.1 × 9.7 mm (1.36 cm³) was identified in the left temporal region across T1 and FLAIR sequences.”
  • SCAN PF–001
  • T1 + FLAIR
  • −42, −18, −12 mm
  • SEGMENTATION v2.3
  • f–det 0.4.1
  • CONFIDENCE 94%
  • PIPELINE 2026.09

Every generated statement traces back to structured evidence. What cannot be traced is not written.

One system

Every Penfield product sits on the same path: measurement in, intervention out. Penfield Findings is one part of it.