New reporting guidelines improve transparency in veterinary pathology AI research
Peer-Reviewed Publication
Updates every hour. Last Updated: 21-Dec-2025 16:11 ET (21-Dec-2025 21:11 GMT/UTC)
A new article in Veterinary Pathology introduces a 9-point checklist designed to improve the reporting quality of studies that use artificial intelligence (AI)-based automated image analysis (AIA). As AI tools become more widely used in pathology-based research, concerns have emerged about the reproducibility and transparency of published findings.
Fat metabolism in Caenorhabditis elegans is commonly studied, but linking fat molecules to specific body structures has remained difficult. Now, researchers have developed a microfluidics-based method that preserves internal anatomy while preparing worm sections for imaging. Using mass spectrometry imaging and fat-specific staining, they visualized the spatial distribution of lipids across organs like the intestine and embryos. This technique also enables 3D reconstruction, revealing how fat molecules are organized within individual worms in remarkable detail.