AI system
- System
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Smartphone application described by the authors as powered by Med-Gemini-3D
- Model
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Med-Gemini-3D, as identified by the case-report authors.
Editor’s note. The abstract names Med-Gemini-3D but does not identify the smartphone application or provide evidence of its model integration (reference 1).
- Release
-
Exact release not established.
- Application developer
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Google (Med-Gemini-3D) - Role
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The application suggested a possible diagnosis from a reconstructed CT image, according to the case-report authors.
- Configuration
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The mother used a smartphone application to analyze a three-dimensional reconstruction from her child’s CT scan.
- Inputs and outputs
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The application analyzed an image reconstructed from a CT scan and suggested enlarged parietal foramina.
- Autonomy
-
Not assessed
- Workflow
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A caregiver submitting a 3D-CT image to a multimodal model. A rare finding unrecognized by the treating physician. Follow-up genetic evaluation.
- Human oversight
-
Not assessed
- Relation to AI
-
The authors attribute the diagnostic suggestion to a smartphone application they say is powered by Med-Gemini-3D. The abstract does not identify the app. So the AI role rests on the authors' description alone. Authors are not affiliated with the developer.
- AI contribution
-
The authors attribute the diagnostic suggestion to a smartphone application they say is powered by Med-Gemini-3D. The abstract does not identify the app. So the AI role rests on the authors' description alone. Authors are not affiliated with the developer.
Benefits
- Outcome identifiers
-
Not assessed
- Benefit
-
An unnamed AI app suggested a skull abnormality, prompting genetic evaluation of a 22-month-old. The authors attribute the app to Med-Gemini-3D, but its model is unverified.
- Category
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Improved Physical Health
- Status
-
Not assessed
- Beneficiary groups
-
People. Organizations. Society.
- Beneficiaries
-
Not assessed
- Reach
-
Not assessed
- Distribution and access
-
Not assessed
- Duration
-
Not assessed
- Expected?
-
Yes
- Costs and harms
-
Not assessed
Measurement
- Studies
-
Not assessed
- Study design
-
Not assessed
- Measurement
-
Not assessed
- Setting and sample
-
Not assessed
- Measures
-
Not assessed
- Comparison
-
the treating physician's initial reading of the CT scan
- Results
-
Reference: symmetric ossification defects adjacent to the sagittal suture that were not initially recognized by the treating physician. Result: suggested a diagnosis of "Catlin mark skull," a historical term for Enlarged Parietal Foramina (EPF).
- Additional value from AI
-
Not assessed
- Limitations
-
Not assessed
- Denominators
-
Not assessed
- Materials for replication
-
Not assessed
Money
- Kind of value
-
Not assessed
- Amount
-
Not assessed
- Currency and prices
-
Not assessed
- Period and unit
-
Not assessed
- Realization
-
Not assessed
- Recipients and payers
-
Not assessed
- Gross or net
-
Not assessed
- Included costs
-
Not assessed
- Comparison
-
Not assessed
- Method
-
Not assessed
- Return and payback
-
Not assessed
People and places
- Participants
-
Developer:
Google (Med-Gemini-3D). Operator: The patient's mother (consumer use). - Jurisdictions
-
Benefit:
United States (authors at Garnet Health Medical Center, Middletown, New York). Developer: United States. - Ownership and control
-
Not assessed
- Dependencies
-
Not assessed
- Cross-border connections
-
Not assessed
- Geopolitical implications
-
Not assessed
Follow-up
- Conditions for replication
-
Access to a model able to interpret 3D CT images. Clinicians act on a consumer-obtained suggestion.
- Replication attempts
-
Not assessed
- Later findings
-
No later correspondence, correction, or follow-up to the case report of 16 January 2026 is established.
- Availability
-
Not assessed
- Institutional decision
-
Not assessed
- Grounds
-
Not assessed
- Action and result
-
Not assessed
- Success criterion
-
Not assessed
Evidence
- Source numbers
-
AIBD-0267-source-0001
- Citations
-
Numbered references below.
- Language
-
Not assessed
- Source relationships
-
Independent
- Original evidence
-
The authors describe the clinical episode in the available account. The full report and any supplements were not inspected, and the app’s identity remains unconfirmed. [1]
- Access and versions
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Not assessed
- Supported findings
-
Not assessed
- Evidence links
-
Not assessed
- Evidence strength
-
Not assessed
- Missing evidence
-
Not assessed
Grades
- Assessed benefits
-
People. Organizations. Society.
- Depth
-
People: 3. Organizations: Not assessed. Society: Not assessed.
- Reasons
-
People: Diagnosis of enlarged parietal foramina, identification of a CDC42BPB variant, and earlier therapeutic interventions for the child. Organizations: No organizational outcome reported. Society: Single case.
- Observed or intended
-
Not assessed
- Rubric
-
Not assessed
- Assessor and date
-
Not assessed
- Alternative assessments
-
Not assessed
- Fill
-
Independently studied
Entry details
- Kind
-
Not assessed
- Related entries
-
Not assessed
- Field
-
Health; rare-disease diagnosis. Children with rare craniofacial anomalies.
- Purpose
-
Consumer use of a CT-interpreting model to obtain a diagnosis for an unexplained skull finding
- Dates
-
Date basis unassessed: 2026 (precision unassessed). Updated: 24 October 2026.
- Stage
-
Not assessed
- Version
-
SHA-256: 21fd7dda66f3…
References
- Other identifiers
-
Not assessed
- Category mappings
-
Not assessed
- Brief
-
Not assessed
- Revisions
-
7 revisions. Latest: 24 October 2026.
Sources
-
Case report Independent author
Hajebian HH, Friel MT. AI-Based CT Image Recognition With Med-Gemini-3D in the Diagnosis of a Rare Craniofacial Condition: A Catlin Mark Skull. Journal of Craniofacial Surgery 37, nos. 3–4 (2026): 910–913. Published online January 16, 2026. doi:10.1097/SCS.0000000000012413. Abstract.
Original clinical case report by clinicians unaffiliated with the attributed AI developer. Only the abstract and bibliographic metadata were inspected in this review. A case report is not a controlled evaluation or independent replication.
The patient's mother used a smartphone application powered by Med-Gemini-3D to analyze a 3D-CT reconstruction image