Biomedical visual data analysis to build an intelligent diagnostic decision support system in medical genetics

Conclusion Our results show that the accurate classification of syndromes is feasible using ML techniques. Thus, a large number of syndromes with characteristic facial anomaly patterns could be diagnosed with similar diagnostic DSSs to that described in the present study, i.e., visual diagnostic DSS, thereby demonstrating the benefits of using hybrid image processing and ML-based computer-aided diagnostics for identifying facial phenotypes.
Source: Artificial Intelligence in Medicine - Category: Bioinformatics Source Type: research