04 / THE PEOPLE BEHIND THE INITIATIVE
The minds behind
CLAIRE.
CLAIRE brings together researchers in computational systems, machine learning, diagnostic imaging and clinical methodology. Their complementary perspectives inform the development and appraisal of reporting guidance.
02 / COMPUTATIONAL SYSTEMS
André Wescley
Oliveira de Aguiar
André contributes expertise in software systems and computational workflows, with particular attention to the implementation and documentation of AI methods.
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03 / MACHINE LEARNING
Caio
Marques Silva
Caio contributes experience in machine learning and image analysis, supporting the description and evaluation of model development and performance.
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04 / IMAGE INTERPRETATION
Danielle Frota
de Albuquerque
Danielle brings experience in radiographic interpretation and diagnostic assessment, informing how imaging methods and findings are reported.
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05 / CLINICAL METHODOLOGY
Eduardo Diogo
Gurgel-Filho
Eduardo contributes a clinical research perspective, with attention to study methods, interpretation of evidence and clinical relevance.
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06 / DIAGNOSTIC RESEARCH
Fábio Wildson
Gurgel Costa
Fábio contributes expertise in diagnostic imaging research, with emphasis on study design, diagnostic reasoning and the appraisal of evidence.
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