Artificial intelligence diagnosis of hip misalignments proves reliable, fast and cost efficient: Study

Richard Ljuhar, CEO and Co-founder of IB Lab, "the study confirms that for the vast majority of analyzed images the AI based method comes to essentially the same measures as the ones obtained by trained experts – just much faster and thus considerably cheaper." In detail, the team UTSW Medical Center used radiological images of 256 hips. From each image 6 measurements were taken: Lateral center-edge angle, caput-collum-diaphyseal angle, pelvic obliquity, Tönnis angle, Sharp's angle and femoral head coverage, either by HIPPO or by three trained experts. When comparing the results obtained by either method, they showed good to excellent correlations, ranging in average from 0.6 to 0.98 (with 1 being identical results). Even better results were achieved when the clinically most widely used measurements (lateral center-edge and Tönnis angle) were compared. Here, the correlation was within 0.71 to 0.86 and 0.82 to 0.90, respectively.