Publication date: Aug 01, 2025
Nomograms are commonly used in oncology to assist clinicians in individualized decision-making processes, such as considering sentinel node biopsy (SNB) for melanoma patients. Concurrently, artificial intelligence (AI) is increasingly being utilized in medical predictions. This study aims to compare the predictive accuracy of nomograms and AI platforms for SNB positivity in a real-world cohort of melanoma patients. A retrospective analysis of melanoma patients who underwent SNB from 2020 to 2024 in a single institution was performed. Three open-access nomograms and three public AI platforms were employed to assess SNB positivity based on comprehensive clinical and pathological characteristics. Our cohort comprised 62 melanoma patients who have undergone SNB, of whom 12 (19. 4%) were positive. There was no concordance among the three nomograms, nor among AI platforms ( P
Semantics
| Type | Source | Name |
|---|---|---|
| drug | DRUGBANK | Tropicamide |
| disease | MESH | melanoma |
| pathway | KEGG | Melanoma |
| disease | MESH | Skin Neoplasms |