Multi-modal deep learning for automated assembly of periapical radiographs

Autor: Pfänder, L., Schneider, L., Büttner, M., Krois, J., Meyer-Lueckel, H., Schwendicke, F.

Publikováno v: In Journal of Dentistry August 2023 135

A prospective, multi-center, practice-based cohort study on all-ceramic crowns

Autor: Wierichs, R.J., Kramer, E.J., Reiss, B., Schwendicke, F., Krois, J., Meyer-Lueckel, H., Wolf, T.G.

Publikováno v: In Dental Materials August 2021 37(8):1273-1282

Seven-year-efficacy of proximal caries infiltration – Randomized clinical trial

Autor: Paris, S., Bitter, K., Krois, J., Meyer-Lueckel, H. ^*

Publikováno v: In Journal of Dentistry February 2020 93

Artificial Intelligence for Caries Detection: Value of Data and Information

Autor: Schwendicke, F, Cejudo Grano de Oro, J, Garcia Cantu, A, Meyer-Lueckel, H, Chaurasia, A, Krois, J

Publikováno v: Schwendicke, F; Cejudo Grano de Oro, J; Garcia Cantu, A; Meyer-Lueckel, H; Chaurasia, A; Krois, J (2022). Artificial Intelligence for Caries Detection: Value of Data and Information. Journal of dental research, 101(11), pp. 1350-1356. Sage 10.1177/00220345221113756

If increasing practitioners’ diagnostic accuracy, medical artificial intelligence (AI) may lead to better treatment decisions at lower costs, while uncertainty remains around the resulting cost-effectiveness. In the present study, we assessed how e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcb503fe52835cb6dee8e81f65824ebc
https://doi.org/10.1177/00220345221113756

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