A deep learning model demonstrates strong potential for detecting surgical site infections (SSIs) from wound photographs, which could enhance postoperative monitoring and early diagnosis.

• The model achieved an AUC of 0.91 for internal validation and 0.82 for external validation, indicating high accuracy in identifying wound infections.
• Automated image analysis could reduce the burden of manual review and decrease delays in diagnosis through telemedicine.

Integrating this technology into clinical practice may streamline SSI monitoring and enhance patient outcomes.