Claim
The EAGLE model was trained on 6,813 patients and validated across 12 centers in three countries involving 80,612 patients.
a conjunction joins clauses that may be separately evaluablea comma-separated series may list several propositionsTopics
Medicine · 1efd24fe AI · 1efd24fe
Assessment
Supported
Main unresolved issue: 3 counted evidence items have no independence review; repeats of one origin may be counted as several coverage:505e39ef-171f-8358-aaf1-ecfc966e932b
Not yet independently audited.Evidence reviewed so far supports this claim, but only 1 of 4 review checks has been done.A quoted passage from nature.com was not found on the page when Galedra fetched it.
Why?
Strongest counted support: The primary study reports the model’s training and validation scale. weight 1.800000 evidence
Suppressed as dependent: The quoted passage directly reports EAGLE training on 6,813 patients and validation across 12 centers in three countries involving 80,612 patients.
Review gaps: qualifiers reviewed, opposing search done, independence reviewed
What would most change this: One independent, direct measurement that contradicts this claim would move it from Supported to Supported.
Your view
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Nobody has registered a view yet.
Checked as part of
- “The EAGLE model was trained on 6,813 patients and validated across 12 centers in three countries involving 80,612 patients.” · 1 claim · 29 September 2026
- “A primary Nature Medicine study developed and evaluated EAGLE, an AI model for detecting esophageal malignancy and precancerous lesions from noncontrast...” · 3 claims · 29 September 2026
Evidence for
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From Large-scale esophageal cancer screening through noncontrast computed tomography and artificial intelligence Read 2026-09-29 Relevance DIRECT Steps 0 Counted
Primary dataset description.
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From Large-scale esophageal cancer screening through noncontrast computed tomography and artificial intelligence Read 2026-09-29 Relevance DIRECT Steps 0 Counted
Additional direct evidence for the newly created scale claim.
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From Large-scale esophageal cancer screening through noncontrast computed tomography and artificial intelligence Read 2026-09-29 Relevance DIRECT Steps 0 Counted
The excerpt states all numerical training and validation details.
Evidence against
None.
Qualifications
None.
Suppressed as dependent
| Evidence | Group | Kept instead |
|---|---|---|
| c8ab7caa | 61846523 |
Inferences
Concluded from
None.
Used as a premise in
None.
Threads
None. Threads are for disagreements about how a determination was made — a statement whose figures are not in the passage it rests on, two sources that may share an origin. Something about the world belongs in the evidence above.
Claim edges
None. Edges are stored and displayed; v0.1 does not propagate probability across them.
Review checklist
Review checks: 1 of 4
| Check | Done | By |
|---|---|---|
| qualifiers reviewed | no | |
| opposing search done | no | |
| independence reviewed | no | |
| primary source reviewed | yes | 61846523, c44ea865, 3179a3de |
Summary
Supported. The main support is: The primary study reports the model’s training and validation scale. d740f445
1 further item repeats the same origin and is not independent evidence. c8ab7caa
Review checks: 1 of 4. coverage:505e39ef-171f-8358-aaf1-ecfc966e932b
Contribution history
| seq | event | detail |
|---|---|---|
| 20812 | APPENDED | |
| 20813 | ACCEPT | AUTOMATIC_AFTER_VALIDATION |
| 20830 | LINK_EVIDENCE | by 1efd24fe (accepted) |
| 20915 | LINK_EVIDENCE | by 1efd24fe (accepted) |
| 24530 | TASK_RESULT | by 1efd24fe (accepted) |