Jacob, Carmen; Olliges, Elisabeth; Haile, A.; Hoffmann, Verena; Jacobi, Benjamin; Steinkopf, L.; Lanz, M.; Wittmann, M.; Tschöp, M. H.; Meißner, Karin (2023)
Jacob, Carmen; Olliges, Elisabeth; Haile, A.; Hoffmann, Verena; Jacobi, Benjamin...
Scientific Reports 13, 9908 (1).
DOI: 10.1038/s41598-023-36296-w
Waibl, Paula; Rothenhäusler, Lena; Nöfer, Eberhard; Meißner, Karin (2023)
Prävention und Gesundheitsförderung 19, S. 250–258 .
DOI: 10.1007/s11553-023-01047-2
Hamberger, Jens; Hinterberger, T.; Loew, T.; Meißner, Karin; Beschoner, Petra; Roder, Eva; Weimer, K. (2023)
Hamberger, Jens; Hinterberger, T.; Loew, T.; Meißner, Karin; Beschoner, Petra...
ePoster, Deutscher Kongress für Psychosomatische Medizin und Psychotherapie (DKPM), 22-24.06.2022, Berlin.
Eggers, Christine; Olliges, Elisabeth; Böck, Stefan; Kruger, Stefan; Uhl, Waldemar; Meißner, Karin (2023)
Eggers, Christine; Olliges, Elisabeth; Böck, Stefan; Kruger, Stefan; Uhl, Waldemar...
Complementary Medicine Research.
DOI: 10.1159/000529865
Hardy, Anne; Kraft, Jana; Baustädter, Verena; Bögel-Witt, Martina; Krassnig, Katharina; Ziegler, Birgit; Meißner, Karin (2023)
Hardy, Anne; Kraft, Jana; Baustädter, Verena; Bögel-Witt, Martina; Krassnig, Katharina...
Posterpräsentation auf dem Wissenschaftstag des 54. TCM Kongresses Rothenburg o.d.T..
Schneider, Lisa; Rischke, Roman; Krois, Joachim; Krasowski, Aleksander; Büttner, Martha; Mohammad-Rahimi, Hossein; Chaurasia, Akhilanand; Pereira, Nielsen S.; Lee, Jae-Hong; Uribe, Sergio E.; Shahab, Shahriar; Koca-Ünsal, Revan B.; Ünsal, Gürkan; Martinez-Beneyto, Yolanda; Brinz, Janet; Tryfonos, Olga; Schwendicke, Falk (2023)
Schneider, Lisa; Rischke, Roman; Krois, Joachim; Krasowski, Aleksander; Büttner, Martha...
Journal of Dental Research 2023/135, 104556.
DOI: 10.1016/j.jdent.2023.104556
Objective
Federated Learning (FL) enables collaborative training of artificial intelligence (AI) models from multiple data sources without directly sharing data. Due to the large amount of sensitive data in dentistry, FL may be particularly relevant for oral and dental research and applications. This study, for the first time, employed FL for a dental task, automated tooth segmentation on panoramic radiographs.
Methods
We employed a dataset of 4,177 panoramic radiographs collected from nine different centers (n = 143 to n = 1881 per center) across the globe and used FL to train a machine learning model for tooth segmentation. FL performance was compared against Local Learning (LL), i.e., training models on isolated data from each center (assuming data sharing not to be an option). Further, the performance gap to Central Learning (CL), i.e., training on centrally pooled data (based on data sharing agreements) was quantified. Generalizability of models was evaluated on a pooled test dataset from all centers.
Results
For 8 out of 9 centers, FL outperformed LL with statistical significance (p<0.05); only the center providing the largest amount of data FL did not have such an advantage. For generalizability, FL outperformed LL across all centers. CL surpassed both FL and LL for performance and generalizability.
Conclusion
If data pooling (for CL) is not feasible, FL is shown to be a useful alternative to train performant and, more importantly, generalizable deep learning models in dentistry, where data protection barriers are high.
Clinical Significance
This study proves the validity and utility of FL in the field of dentistry, which encourages researchers to adopt this method to improve the generalizability of dental AI models and ease their transition to the clinical environment.
Kraft, Jana; Stamm, Lili; Waibl, Paula; Popovici, R. M.; Krieg, Jürgen; Meißner, Karin (2023)
Kraft, Jana; Stamm, Lili; Waibl, Paula; Popovici, R. M.; Krieg, Jürgen...
Oral presentation, 4th International Conference of the Society for Interdisciplinary Placebo Studies, Duisburg, Germany.
Ort, Sandra; Waibl, Paula; Stang, Marina; Funke, Susanne A.; Dalkner, Nina; Meißner, Karin (2023)
Ort, Sandra; Waibl, Paula; Stang, Marina; Funke, Susanne A.; Dalkner, Nina...
Poster presentation, 4th International Conference of the Society for Interdisciplinary Placebo Studies, Duisburg, Germany.
Kiefer, Nadine; Reiß, Fabienne; Klein, Judith; Klein, Michael; Noll, Matthias; Kalkhof, Stefan (2023)
Kiefer, Nadine; Reiß, Fabienne; Klein, Judith; Klein, Michael; Noll, Matthias...
SETAC EUROPE 33rd ANNUAL MEETING, 30 APRIL - 4 MAY 2023, DUBLIN.
Aillaud, Isabelle; Malhis, Marwa; Kaniyappan, S.; Chandupatla, R.R.; Ramirez, L.-M.; Alkhashrom, Sewar ; Eichler, Jutta; Horn, A. H. C.; Zweckstetter , M.; Mandelkow, E.; Sticht, H.; Funke, Susanne A. (2023)
Aillaud, Isabelle; Malhis, Marwa; Kaniyappan, S.; Chandupatla, R.R.; Ramirez, L.-M....
AD/PD 2023 International Conference, Hybrid, 28.03.-01.04.2023.
Ort, Sandra; Waibl, Paula; Stang, Marina; Funke, Susanne A.; Dalkner, Nina; Meißner, Karin (2023)
Ort, Sandra; Waibl, Paula; Stang, Marina; Funke, Susanne A.; Dalkner, Nina...
Psychosomatic Medicine 85 (4), S. A28.
DOI: 10.1097/PSY.0000000000001202
Waibl, Paula; Engelhardt, Ute; Nögel, Rainer; Hempen, Moritz; Meißner, Karin (2023)
Chinesische Medizin 38 (1), S. 30-39.
DOI: 10.1007/s00052-023-00074-8
Khalid, Iraj; Rodrigues, Belina; Dreyfus, Hippolyte; Frileux, Solene; Meißner, Karin; Fossati, Philippe; Hare, Todd Anthony; Schmidt, Liane (2023)
Khalid, Iraj; Rodrigues, Belina; Dreyfus, Hippolyte; Frileux, Solene; Meißner, Karin...
bioRxiv (Pre-print).
DOI: 10.1101/2023.02.14.527858
Meißner, Karin (2023)
Vortrag auf der externen Schmerzkonferenz mit Qualitätszirkel 2023, Schön Klinik Bad Staffelstein / alphaMED Bamberg.
Funke, Susanne A. (2023)
Lehrerfortbildung, Hochschule Coburg.
Meißner, Karin (2022)
Eingeladener Vortrag, Gründungsveranstaltung für das REGIOMED Zentrum für Wirbelsäulenmedizin, Regiomed Klinikum Lichtenfels .
Meißner, Karin (2022)
Vortrag auf der internationalen Tagung "The structure of creditions - methods, methodology, and assessment", Graz, Österreich.
Meißner, Karin (2022)
Oral presentation, 2022 Xing-lin International Week of Chengdu University of Traditional Chinese Medicine (CDUTCM).
Kenzel, Julia; Brüggemann, Dagmar Adeline; Funke, Susanne A. (2022)
Applied Microbiology 2022, 2 (4), S. 921-933.
DOI: 10.3390/applmicrobiol2040070
Meißner, Karin (2022)
Vortrag im Rahmen der Vorlesungsreihe "Hot Topics in Psychology", TUM Fakultät für Sport- und Gesundheitswissenschaften.
Friedrich-Streib-Str. 2
96450 Coburg