N J Harper, C Lim, H Alqallaf, P J Naylor
A case study exploring the 'real world' process of 'naturalizing' school playgrounds
International journal of environmental health research
rhinoplasty enhances facial symmetry functionality however accurate reliable quantification nasal defects presurgery remains ongoing challenge study introduces novel approach defect quantification using 2d images artificial intelligence providing tool better preoperative planning improved surgical outcomes pretrained ai model facial landmark detection utilised dataset 250 images male patients aged 18 24 underwent rhinoplasty cosmetic nasal deformity correction analysis concentrated 36 different distances facial landmarks distances normalised using minmax scaling counter image size quality variations postnormalisation statistical parameters including mean median standard deviation calculated identify quantify nasal defects methodology tested validated using images different ethnicities regions showing promising potential beneficial surgical aid normalised data produced reliable quantifications nasal defects average 762 aiding preoperative planning improving surgical outcomes patient satisfaction developed method extended facial plastic surgeries furthermore used create appbased software assist medical education improve patientdoctor communication novel method defect quantification rhinoplasty using ai image processing holds significant potential improving surgical planning outcomes patient satisfaction marking essential step fusion ai plastic surgery