Artificial intelligence for diagnosing rare bone diseases: a global survey of healthcare professionals.

ABSTRACT:

Background

Rare bone diseases (RBDs) are an important group of conditions characterized by abnormalities in bone and cartilage. Their large number, individual rarity, and heterogeneity make accurate and timely diagnosis challenging. Establishing correlations between genotype and phenotype (mainly via imaging) is critical for diagnosing RBDs. Image recognition artificial intelligence (AI) has the potential to significantly improve the diagnostic process by assisting healthcare providers to identify and differentiate imaging patterns associated with various RBDs. This survey study sought to assess the interest of various healthcare providers worldwide in utilizing an AI-based assistant tool for the differential diagnosis of RBDs.

Method

Survey data were collected from March to

SUBMITTER: Javanmardi B 

PROVIDER: S-EPMC12265221 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature