An innovative study integrates artificial neural networks with hyperspectral imaging to enhance prognostic assessments in esophageal adenocarcinoma. This approach enables detailed analysis of pretherapeutic histopathological specimens, facilitating more accurate and earlier prediction of disease outcomes. The technology promises to improve personalized treatment planning and patient management in a challenging cancer subtype.