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06 / PUBLICATIONS

From evidence to the Framework.

Two related papers published online in 2025 informed the scientific rationale for CLAIRE. The Framework appeared in 2026 and was subsequently applied in a diagnostic-imaging research study. Full author lists are provided below.

2025Precursor · Systematic review

Deep learning for detecting periapical bone rarefaction in panoramic radiographs: a systematic review and critical assessment

AUTHORS

José Evando da Silva-Filho · Zildenilson da Silva Sousa · Ana Paula Caracas-de-Araújo · Lívia dos Santos Fornagero · Milena Pinheiro Machado · André Wescley Oliveira de Aguiar · Caio Marques Silva · Danielle Frota de Albuquerque · Eduardo Diogo Gurgel-Filho

Dentomaxillofacial Radiology. 2025;54(6):405–419. DOI: 10.1093/dmfr/twaf044.

This review identified inconsistencies in reporting and limitations in cross-study comparisons, highlighting the need for more standardized documentation of imaging AI research.

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2025Precursor · Perspective

Artificial intelligence in diagnostic imaging: collaborative asset or looming replacement?

AUTHORS

José Evando da Silva-Filho · André Wescley Oliveira de Aguiar · Caio Marques Silva · Danielle Frota de Albuquerque · Eduardo Diogo Gurgel-Filho

Oral Radiology. Published online in 2025; 2026;42(2):473–476. DOI: 10.1007/s11282-025-00871-w.

This communication examined clinical oversight, transparency and responsible use of AI, providing context for the initiative's emphasis on clinical interpretation.

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2026Published CLAIRE Framework

CLAIRE: a unified framework for reporting and assessing artificial intelligence in diagnostic imaging

AUTHORS

José Evando da Silva-Filho · Igor Rodrigues-Fontenele · Mateus Bôtto-Marques · André Wescley Oliveira de Aguiar · Caio Marques Silva · Danielle Frota de Albuquerque · Eduardo Diogo Gurgel-Filho

British Journal of Radiology. 2026;99(1185):1779–1787. DOI: 10.1093/bjr/tqag037.

The foundational CLAIRE publication introduced six reporting principles, a 15-item checklist, an editorial reference guide and a standardized scoring approach.

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2026Research application · CLAIRE applied

Annotation-free deep learning approach for detection of periapical bone rarefactions on panoramic radiographs: a feasibility study

AUTHORS

José Evando da Silva-Filho · Caio Marques Silva · Giovanna Tacchi · Igor Rodrigues-Fontenele · Mateus Bôtto-Marques · André Wescley Oliveira de Aguiar · Pedro Pedrosa Rebouças Filho · Danielle Frota de Albuquerque · Eduardo Diogo Gurgel-Filho

Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. Published online May 12, 2026. DOI: 10.1016/j.oooo.2026.05.007.

An original diagnostic imaging study from the CLAIRE development group, in which the framework was applied to research reporting. The study examined annotation-free deep learning for identifying periapical bone rarefactions on panoramic radiographs.

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Future publications—including the Statement development protocol, consensus findings, the final Statement and supporting methodological work—will be added when available. Unpublished outputs are not listed as published.