Orli Glickman, Joanne Kakaty-Monzo, Michael Roberts, Farzaneh Daghigh
Exploring the effectiveness of virtual and in-person instruction in culinary medicine: a survey-based study
BMC medical education
developments visionbased systems human pose estimation algorithms potential detect monitor intervene early neurodegenerative diseases gait analysis however gap technology available actual clinical practice evident clinicians still rely subjective observational gait analysis objective markerbased analysis timeconsuming paper aims examine main developments visionbased motion capture advances may integrated clinical practice literature review conducted six online databases using boolean search terms commercial system search also included predetermined methodological criterion used assess quality selected articles total seventeen studies evaluated thirteen studies focusing gait classification systems four studies gait measurement systems gait classification systems nine studies utilized artificial intelligenceassisted techniques four studies employed statistical techniques results revealed high correlations gait features identified classifier models existing clinical rating scales systems demonstrated generally high classification accuracies effective diagnosing disease severity levels gait measurement systems extract spatiotemporal kinematic joint information video data generally found accurate measurements gait parameters low mean absolute errors high intra interrater reliability low cost portable visionbased systems provide proof concept quantification gait expansion gait assessment tools remote gait analysis neurodegenerative diseases point care system orthotic evaluation however certain challenges including small sample sizes occlusion risks selection bias training models need addressed nevertheless systems serve complementary tools equipping clinicians essential gait information objectively assess disease severity tailor personalized treatment enhanced patient care