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Updated: May 5, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

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Marco de referencia clínicamente informado para evaluar modelos de visión y lenguaje en la generación de informes de

Hao Guan^1,2, Peter C Hou^1,2, Pengyu Hong³

¹Brigham and Women's Hospital, Boston, MA.

AMIA ... Annual Symposium proceedings. AMIA Symposium

|February 23, 2026

Resumen

Este estudio presenta un nuevo marco para evaluar informes de radiología generados por IA, centrándose en los riesgos clínicos. Revela errores comunes en los modelos de visión y lenguaje (VLM), mejorando la seguridad de la IA en imágenes médicas.

Palabras clave:

modelos de visión y lenguaje generación de informes de radiología evaluación de IA seguridad clínica métricas de riesgo

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Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...