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 (...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-07-01
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| Series: | Orphanet Journal of Rare Diseases |
| Online Access: | https://doi.org/10.1186/s13023-025-03875-1 |
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