Zobrazeno 1 - 10
of 146
pro vyhledávání: '"Jan Kühnisch"'
Autor:
Marco Felsch, Ole Meyer, Anne Schlickenrieder, Paula Engels, Jule Schönewolf, Felicitas Zöllner, Roswitha Heinrich-Weltzien, Marc Hesenius, Reinhard Hickel, Volker Gruhn, Jan Kühnisch
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-8 (2023)
Abstract Caries and molar-incisor hypomineralization (MIH) are among the most prevalent diseases worldwide and need to be reliably diagnosed. The use of dental photographs and artificial intelligence (AI) methods may potentially contribute to realizi
Externí odkaz:
https://doaj.org/article/0d1018aac2344298a72f18b0d7ee1684
Autor:
Nour Ammar, Jan Kühnisch
Publikováno v:
Japanese Dental Science Review, Vol 60, Iss , Pp 128-136 (2024)
The accuracy of artificial intelligence-aided (AI) caries diagnosis can vary considerably depending on numerous factors. This review aimed to assess the diagnostic accuracy of AI models for caries detection and classification on bitewing radiographs.
Externí odkaz:
https://doaj.org/article/3e04fb50ef4a4f36bf663159f675e7fd
Autor:
Jan Kühnisch, Tianyu Zhao, Randi J. Bertelsen, Rudolf A. Jörres, Dennis Nowak, Joachim Heinrich
Publikováno v:
Trials, Vol 24, Iss 1, Pp 1-14 (2023)
Abstract Background Periodontal disease and lung function impairment were found to be associated with low-grade systemic or local inflammation, and it might be that gingival/periodontal inflammation triggers lung function due to systemic inflammation
Externí odkaz:
https://doaj.org/article/7aaab14f4ed74f4381b394c21324261d
Autor:
Tianyu Zhao, Elisabeth Thiering, Rudolf A. Jörres, Marie Standl, Jan Kühnisch, Joachim Heinrich
Publikováno v:
ERJ Open Research, Vol 9, Iss 2 (2023)
Externí odkaz:
https://doaj.org/article/9f8cd84d398a464596007cfb32e04a82
Autor:
Helena Dujic, Ole Meyer, Patrick Hoss, Uta Christine Wölfle, Annika Wülk, Theresa Meusburger, Leon Meier, Volker Gruhn, Marc Hesenius, Reinhard Hickel, Jan Kühnisch
Publikováno v:
Diagnostics, Vol 13, Iss 23, p 3562 (2023)
Several artificial intelligence-based models have been presented for the detection of periodontal bone loss (PBL), mostly using convolutional neural networks, which are the state of the art in deep learning. Given the emerging breakthrough of transfo
Externí odkaz:
https://doaj.org/article/f3acb345377c425ab4a49930c10b60cc
Autor:
Patrick Hoss, Ole Meyer, Uta Christine Wölfle, Annika Wülk, Theresa Meusburger, Leon Meier, Reinhard Hickel, Volker Gruhn, Marc Hesenius, Jan Kühnisch, Helena Dujic
Publikováno v:
Journal of Clinical Medicine, Vol 12, Iss 22, p 7189 (2023)
Interest in machine learning models and convolutional neural networks (CNNs) for diagnostic purposes is steadily increasing in dentistry. Here, CNNs can potentially help in the classification of periodontal bone loss (PBL). In this study, the diagnos
Externí odkaz:
https://doaj.org/article/0ba7de256c994c468b970ed33093e7fc
Autor:
Thomas Linner, Yeganeh Khazaei, Katharina Bücher, Jan Pfisterer, Reinhard Hickel, Jan Kühnisch
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract Tooth hypersensitivity is a common symptom in patients with molar-incisor hypomineralization (MIH). Therefore, this clinical study aimed to assess potential associations between patient- and tooth-related variables and the intensity of hyper
Externí odkaz:
https://doaj.org/article/58daa211f5984c2e9d5a19941ee2c343
Autor:
Theresa Meusburger, Annika Wülk, Andreas Kessler, Katrin Heck, Reinhard Hickel, Helena Dujic, Jan Kühnisch
Publikováno v:
Journal of Clinical Medicine, Vol 12, Iss 6, p 2224 (2023)
(1) Background: Caries, periapical lesions, periodontal bone loss (PBL), and endo-perio lesions are common dental findings that require an accurate diagnostic assessment to allow appropriate disease management. The purpose of this reliability study w
Externí odkaz:
https://doaj.org/article/e180a37a9d454975a0e7b7f912d61133
Comparison of novel and established caries diagnostic methods: a clinical study on occlusal surfaces
Publikováno v:
BMC Oral Health, Vol 21, Iss 1, Pp 1-10 (2021)
Abstract Background The purpose of this prospective clinical diagnostic study with validation was to compare the diagnostic accuracy of near-infrared transillumination (NIRT), laser fluorescence measurement (LF), alternating current impedance spectro
Externí odkaz:
https://doaj.org/article/c29a15ad463f479c860c560e2f533a1e
Autor:
Vinay Pitchika, Marie Standl, Carla Harris, Elisabeth Thiering, Reinhard Hickel, Joachim Heinrich, Jan Kühnisch
Publikováno v:
BMC Oral Health, Vol 20, Iss 1, Pp 1-8 (2020)
Abstract Background Sugar-sweetened drinks (SSDs) are known to be cariogenic, but this association has not been well investigated in population-based repeated cross-sectional studies in recent years. Therefore, this study examined whether SSD intake
Externí odkaz:
https://doaj.org/article/451506fa24434d35931943a132b762d5