Ancestry-Associated Performance Variability of Open-Source AI Models for EGFR Prediction in Lung Cancer
Mehrdad Rakaee, Amin Nassar, Masoud Tafavvoghi, Falah Jabar et autres
Importance: Artificial intelligence (AI) models are emerging as rapid, low-cost tools for predicting targetable genomic alterations directly from routine pathology slides. Although these approaches could accelerate treatment decisions in lung cancer, little is known about whether their performance is consistent across diverse …
no, us, gb, dk (code pays fourni par la source)
4 citations
JAMA Oncology