TY  - JOUR
AB  - Osteoporosis, a skeletal disorder, is expected to affect 60% of women aged over 50 years. Dual-energy X-ray absorptiometry (DXA) scans, the current gold standard, are typically used post-fracture, highlighting the need for early detection tools. Panoramic radiographs (PRs), common in annual dental evaluations, have been explored for osteoporosis detection using deep learning, but methodological flaws have cast doubt on otherwise optimistic results. This study aims to develop a robust artificial intelligence (AI) application for accurate osteoporosis identification in PRs, contributing to early and reliable diagnostics. A total of 250 PRs from three groups (A: osteoporosis group, B: non-osteoporosis group matching A in age and gender, C: non-osteoporosis group differing from A in age and gender) were cropped to the mental foramen region. A pretrained convolutional neural network (CNN) classifier was used for training, testing, and validation with a random split of the dataset into subsets (A vs. B, A vs. C). Detection accuracy and area under the curve (AUC) were calculated. The method achieved an F1 score of 0.74 and an AUC of 0.8401 (A vs. B). For young patients (A vs. C), it performed with 98% accuracy and an AUC of 0.9812. This study presents a proof-of-concept algorithm, demonstrating the potential of deep learning to identify osteoporosis in dental radiographs. It also highlights the importance of methodological rigor, as not all optimistic results are credible.
AU  - Gaudin, R.*
AU  - Otto, W.*
AU  - Ghanad, I.*
AU  - Kewenig, S.*
AU  - Rendenbach, C.*
AU  - Alevizakos, V.*
AU  - Grün, P.*
AU  - Kofler, F.
AU  - Heiland, M.*
AU  - von See, C.*
C1  - 71801
C2  - 56434
CY  - St Alban-anlage 66, Ch-4052 Basel, Switzerland
TI  - Enhanced osteoporosis detection using artificial intelligence: A deep learning approach to panoramic radiographs with an emphasis on the mental foramen.
JO  - Med. Sci.
VL  - 12
IS  - 3
PB  - Mdpi
PY  - 2024
SN  - 2076-3271
ER  - 

TY  - JOUR
AB  - Skin wound repair has been the central focus of clinicians and scientists for almost a century. Insights into acute and chronic wound healing as well as scarring have influenced and ameliorated wound treatment. Our knowledge of normal skin notwithstanding, little is known of acute and chronic wound repair of genital skin. In contrast to extra-genital skin, hypertrophic scarring is uncommon in genital tissue. Chronic wound healing disorders of the genitals are mostly confined to mucosal tissue diseases. This article will provide insights into the differences between extra-genital and genital skin with regard to anatomy, physiology and aberrant wound repair. In light of fundamental differences between genital and normal skin, it is recommended that reconstructive and esthetic surgery should exclusively be performed by specialists with profound expertise in genital wound repair.
AU  - Mirastschijski, U.*
AU  - Jiang, D.
AU  - Rinkevich, Y.
C1  - 64868
C2  - 52570
TI  - Genital wound repair and scarring.
JO  - Med. Sci.
VL  - 10
IS  - 2
PY  - 2022
SN  - 2076-3271
ER  -