Search Results - "Krois, Joachim"

Convolutional neural networks for dental image diagnostics: A scoping review by Schwendicke, Falk, Golla, Tatiana, Dreher, Martin, Krois, Joachim

“…Convolutional neural networks (CNNs) are increasingly applied for medical image diagnostics. We performed a scoping review, exploring (1) use cases, (2)…”
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Deep Learning for the Radiographic Detection of Periodontal Bone Loss by Krois, Joachim, Ekert, Thomas, Meinhold, Leonie, Golla, Tatiana, Kharbot, Basel, Wittemeier, Agnes, Dörfer, Christof, Schwendicke, Falk

“…We applied deep convolutional neural networks (CNNs) to detect periodontal bone loss (PBL) on panoramic dental radiographs. We synthesized a set of 2001 image…”
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Deep Learning for the Radiographic Detection of Apical Lesions by Ekert, Thomas, Krois, Joachim, Meinhold, Leonie, Elhennawy, Karim, Emara, Ramy, Golla, Tatiana, Schwendicke, Falk

“…We applied deep convolutional neural networks (CNNs) to detect apical lesions (ALs) on panoramic dental radiographs. Based on a synthesized data set of 2001…”
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Precision dentistry—what it is, where it fails (yet), and how to get there by Schwendicke, Falk, Krois, Joachim

“…Objectives Dentistry is stuck between the one-size-fits-all approach towards diagnostics and therapy employed for a century and the era of stratified medicine…”
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Detecting caries lesions of different radiographic extension on bitewings using deep learning by Cantu, Anselmo Garcia, Gehrung, Sascha, Krois, Joachim, Chaurasia, Akhilanand, Rossi, Jesus Gomez, Gaudin, Robert, Elhennawy, Karim, Schwendicke, Falk

“…We aimed to apply deep learning to detect caries lesions of different radiographic extension on bitewings, hypothesizing it to be significantly more accurate…”
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Deep learning for caries lesion detection in near-infrared light transillumination images: A pilot study by Schwendicke, Falk, Elhennawy, Karim, Paris, Sebastian, Friebertshäuser, Philipp, Krois, Joachim

“…In this pilot study, we applied deep convolutional neural networks (CNNs) to detect caries lesions in Near-Infrared-Light Transillumination (NILT) images. 226…”
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Secondary caries: what is it, and how it can be controlled, detected, and managed? by Askar, Haitham, Krois, Joachim, Göstemeyer, Gerd, Bottenberg, Peter, Zero, Domenick, Banerjee, Avijit, Schwendicke, Falk

“…Objectives To assess how to control, detect, and treat secondary caries. This review serves to inform a joint ORCA/EFCD consensus process. Methods Systematic…”
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Predictors for tooth loss in periodontitis patients: Systematic review and meta‐analysis by Helal, Omar, Göstemeyer, Gerd, Krois, Joachim, Fawzy El Sayed, Karim, Graetz, Christian, Schwendicke, Falk

“…Aim A range of predictors for tooth loss in periodontitis patients have been reported. We performed a systematic review and meta‐analysis to assess the…”
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Generalizability of deep learning models for dental image analysis by Krois, Joachim, Garcia Cantu, Anselmo, Chaurasia, Akhilanand, Patil, Ranjitkumar, Chaudhari, Prabhat Kumar, Gaudin, Robert, Gehrung, Sascha, Schwendicke, Falk

“…We assessed the generalizability of deep learning models and how to improve it. Our exemplary use-case was the detection of apical lesions on panoramic…”
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Deep learning for caries detection: A systematic review by Mohammad-Rahimi, Hossein, Motamedian, Saeed Reza, Rohban, Mohammad Hossein, Krois, Joachim, Uribe, Sergio E., Mahmoudinia, Erfan, Rokhshad, Rata, Nadimi, Mohadeseh, Schwendicke, Falk

“…Detecting caries lesions is challenging for dentists, and deep learning models may help practitioners to increase accuracy and reliability. We aimed to…”
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Trends in caries experience in the permanent dentition in Germany 1997–2014, and projection to 2030: Morbidity shifts in an aging society by Jordan, Rainer A., Krois, Joachim, Schiffner, Ulrich, Micheelis, Wolfgang, Schwendicke, Falk

“…The aims of this study were to assess the trends in dental caries experience in the permanent dentition (i.e., the number of decayed, missing, or filled teeth,…”
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Deep learning for cephalometric landmark detection: systematic review and meta-analysis by Schwendicke, Falk, Chaurasia, Akhilanand, Arsiwala, Lubaina, Lee, Jae-Hong, Elhennawy, Karim, Jost-Brinkmann, Paul-Georg, Demarco, Flavio, Krois, Joachim

“…Objectives Deep learning (DL) has been increasingly employed for automated landmark detection, e.g., for cephalometric purposes. We performed a systematic…”
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Comparison of periodontitis patients’ classification in the 2018 versus 1999 classification by Graetz, Christian, Mann, Lucas, Krois, Joachim, Sälzer, Sonja, Kahl, Maren, Springer, Claudia, Schwendicke, Falk

“…Objectives We aimed to assess how the 2018 and 1999 classifications of periodontal diseases reflect (a) patients’ characteristics, (b) disease…”
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The impact of demographic, health-related and social factors on dental services utilization: Systematic review and meta-analysis by Reda, Seif Magdy, Krois, Joachim, Reda, Sophie Franziska, Thomson, William Murray, Schwendicke, Falk

“…Regular and/or preventive dental services utilization is an indicator of healthcare access and associated with improved health outcomes. We assessed the…”
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Demystifying artificial intelligence and deep learning in dentistry by RODRIGUES, Jonas Almeida, KROIS, Joachim, SCHWENDICKE, Falk

“…Abstract Artificial intelligence (AI) is a general term used to describe the development of computer systems which can perform tasks that normally require…”
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Predicting mortality in the very old: a machine learning analysis on claims data by Krasowski, Aleksander, Krois, Joachim, Kuhlmey, Adelheid, Meyer-Lueckel, Hendrik, Schwendicke, Falk

“…Machine learning (ML) may be used to predict mortality. We used claims data from one large German insurer to develop and test differently complex ML prediction…”
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Association between patient-, tooth- and treatment-level factors and root canal treatment failure: A retrospective longitudinal and machine learning study by Herbst, Chantal S., Schwendicke, Falk, Krois, Joachim, Herbst, Sascha R.

“…We aimed to assess patient-, tooth- and treatment-level covariates on the failure of root canal treatments (RT) and to predict failure using machine learning…”
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Long-term costs of post-restorations: 7-year practice-based results from Germany by Schwendicke, Falk, Kramer, Enno J., Krois, Joachim, Meyer-Lueckel, Hendrik, Wierichs, Richard Johannes

“…Objectives We evaluated the initial and follow-up treatment costs of different post-restorations in a practice-based German healthcare setting. Methods A total…”
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Clustering effects of oral conditions based on clinical and radiographic examinations by Meinhold, Leonie, Krois, Joachim, Jordan, Rainer, Nestler, Norbert, Schwendicke, Falk

“…Objectives The intra-class correlation coefficient (ICC) is a measure of intra-subject clustering effects. A priori estimates of the ICC and the associated…”
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A Survey on the Use of Artificial Intelligence by Clinicians in Dentistry and Oral and Maxillofacial Surgery by Eschert, Tim, Schwendicke, Falk, Krois, Joachim, Bohner, Lauren, Vinayahalingam, Shankeeth, Hanisch, Marcel

“…Background: Applications of artificial intelligence (AI) in medicine and dentistry have been on the rise in recent years. In dental radiology, deep learning…”
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