Effectiveness of Artificial intelligence based technology to improve wound assessment and better management: A Review Article Artificial intelligence based to improve wound assessment


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Published: May 8, 2024
Keywords:
Wound Assessment, Artificial Intelligence, Wound Healing
Section
Articles
Statistic

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gitika
AIIMS NEW DELHI
karitika sharma
Naresh kumar
Govt. College of Nursing, Merrut, Uttar Pradesh,
Dr. Nitesh kumar
NIMS University, Jaipur, Rajasthan
Nitesh Kumawat
AIIMS, JODHPUR

Abstract

Wound care clinicians face challenges in accurately predicting wound healing trajectories due to the intricate and dynamic nature of the healing process. During clinical visits, wound care teams capture images of wounds, resulting in the accumulation of extensive datasets over time. The development of innovative artificial intelligence (AI) systems can assist clinicians in diagnosing, evaluating therapy effectiveness, and forecasting healing outcomes. Precise assessment of wound area and the percentage of granulation tissue (PGT) play a crucial role in optimizing wound care and achieving favorable healing results. By utilizing AI-based wound assessment tools, the accuracy and consistency of wound area and PGT measurements can be enhanced, leading to improved efficiency in wound care workflows. Accurate measurements of wound area are particularly vital in optimizing outcomes for patients with chronic wounds. Furthermore, the determination of the percentage of healthy granulation tissue in the wound bed is essential in assessing whether a wound is likely to heal or is ready for definitive closure through skin graft or flap procedures.


 

Article Details


How to Cite
gitika, karitika sharma, Naresh kumar, Dr. Nitesh kumar, & Nitesh Kumawat. (2024). Effectiveness of Artificial intelligence based technology to improve wound assessment and better management: A Review Article: Artificial intelligence based to improve wound assessment. The WOCSI Journal of Medical Science, 2(01 (January - March) 2024), 41–44. Retrieved from https://twjms.wocsi.org/index.php/1/article/view/30

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