Artificial Intelligence in Acute Compartment Syndrome of Lower Limb – A New Tool in the War Zone

Abstract

Acute Compartment Syndrome (ACS) of the lower limb is a surgical emergency requiring timely diagnosis and intervention to prevent irreversible tissue damage and limb loss. Current diagnostic methods, reliant on clinical assessment and intra-compartmental pressure monitoring, pose significant challenges due to their subjective nature, potential for delay, and associated risks. Artificial Intelligence (AI) offers transformative potential in addressing these limitations, with the promise of augmenting diagnostic precision, reducing time-to-treatment, and improving outcomes which will be of immense help in war or mass trauma zones.