An automatic congenital radio-ulnar synostosis deformity evaluation method (CRUS-DE): integrating TLT-SAM and GPMM-R for landmark identification

Key Points

• Congenital deformity evaluation is streamlined using an automatic method, enhancing diagnostic precision.
• The evaluation method integrates TLT-SAM and GPMM-R for accurate landmark identification.
• Advanced algorithms efficiently identify deformities in radiographic images, facilitating quicker assessments.
• The automatic approach may reduce human error in diagnosing congenital deformities, highlighting its potential benefits.