Are the European reference networks for rare diseases ready to embrace machine learning? A mixed-methods study
Abstract Background The delay in diagnosis for rare disease (RD) patients is often longer than for patients with common diseases. Machine learning (ML) technologies have the potential to speed up and increase the precision of diagnosis in this population group. We aim to explore the expectations and...
Main Authors: | Georgi Iskrov, Ralitsa Raycheva, Kostadin Kostadinov, Sandra Gillner, Carl Rudolf Blankart, Edith Sky Gross, Gulcin Gumus, Elena Mitova, Stefan Stefanov, Georgi Stefanov, Rumen Stefanov |
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Format: | Article |
Language: | English |
Published: |
BMC
2024-01-01
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Series: | Orphanet Journal of Rare Diseases |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13023-024-03047-7 |
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