Assessing the Accuracy of Artificial Intelligence Models in Scoliosis Classification and Suggested Therapeutic Approaches
Artur Fabijan(Polish Mother’s Memorial Hospital Research Institute), Bartosz Polis(Polish Mother’s Memorial Hospital Research Institute), Agnieszka Zawadzka-Fabijan(Medical University of Lodz), Krzysztof Zakrzewski(Polish Mother’s Memorial Hospital Research Institute), Emilia Nowosławska(Polish Mother’s Memorial Hospital Research Institute), Robert Fabijan
Cited by 14
Related Papers
Effect of glucocorticoid receptor gene polymorphisms on asthma phenotypes
|Experimental and Therapeutic Medicine|2012|48
The NR3C1 Glucocorticoid Receptor Gene Polymorphisms May Modulate the TGF-beta mRNA Expression in Asthma Patients
|Inflammation|2015|40
Artificial Intelligence in Scoliosis Classification: An Investigation of Language-Based Models
|Journal of Personalized Medicine|2023|20
Identification and association of the single nucleotide polymorphisms, C−509T, C+466T and T+869C, of the TGF-β1 gene in patients with asthma and their influence on the mRNA expression level of TGF-β1
|International Journal of Molecular Medicine|2014|19