Recent technological advancements in Artificial Intelligence for orthopaedic wound management

Area of Science:

• Orthopaedic Surgery
• Medical Technology
• Artificial Intelligence

Background:

• Surgical site infections in orthopaedics significantly increase patient morbidity and healthcare costs.
• Effective wound care is essential for optimal patient outcomes and quality of life post-surgery.
• Traditional manual wound assessment is time-consuming and prone to variability.

Purpose of the Study:

• To review the current literature on the application of Artificial Intelligence (AI) in orthopaedic wound assessment and management.
• To highlight the potential of AI to improve efficiency and accuracy in orthopaedic wound care.
• To explore how AI can aid in early complication detection and patient monitoring.

Main Methods:

• Systematic literature review of studies utilizing AI in orthopaedic wound care.
• Analysis of AI applications including image-based assessment, predictive analytics, and remote monitoring.
• Synthesis of findings on AI's impact on clinical workflow and patient outcomes.

Main Results:

• AI demonstrates significant potential in automating wound assessment and detecting early signs of infection.
• AI tools can assist in stratifying patient risk for complications and enabling remote patient monitoring.
• Integration of AI reduces the burden of manual assessment, freeing up physician time.

Conclusions:

• Artificial Intelligence offers a transformative approach to wound assessment and management in orthopaedics.
• AI implementation can lead to earlier detection of complications, improved patient outcomes, and more efficient clinical practice.
• Further research and integration of AI are crucial for advancing orthopaedic wound care.