Lameness is a chief concern for horse owners; however, systems that accurately and objectively evaluate lameness are currently limited to equine veterinarians. Therefore, the objective of this study was to determine the degree of correlation in key indicators of lameness between a novel and sophisticated mobile phone computer vision (CV) application employing artificial intelligence technology versus a lameness evaluation methodology using a wireless body-mounted, inertial sensor system (ISS). The 2 methodologies were evaluated in conjunction with a study utilizing 27 Quarter horse yearlings (mean ± SEM; 561 ± 3 d). A grain-based horse feed formulated without added microbials (SafeChoice® Original, Nutrena) was fed to all horses at 1% BW/d (as-fed) twice daily in 12 h intervals for 76 d. Horses were allowed ad-libitum access to Coastal bermudagrass (Cynodon dactylon) hay and fresh water. For the 76 d period, horses were exercised on a progressive workload from moderate to heavy using mean heart rate for 30 min per d, 5d/wk using a free-stall exerciser. Horses underwent a baseline lameness assessment using ISS and CVtechnologies simultaneously on d 0 of the study, followed by 2 additional lameness assessments on d 76 (pre- exercise bout, and post- exercise bout). Data from lameness evaluations were analyzed using PROC Corr in SAS v9.4 to evaluate matching outputs (e.g., pushoff difference, head impact difference, hind pushoff difference, and hind impact difference) across both lameness detection systems. Positive correlations were noted between the ISS and CV systems when different regions were analyzed including the head pushoff difference (r = 0.87, P ≤ 0.01); head impact difference (r = 0.76, P ≤ 0.01); hind pushoff difference (r = 0.81, P ≤ 0.01); and hind impact difference (r = 0.87, P ≤ 0.01). Regardless of measurement recorded, there are strong positive relationships between the 2 systems. This suggests that the novel CV system detects and quantifies equine lameness that is highly correlated to the ISS system for several key indicators used to localize and assess degree of lameness in horses.