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Systematic symptom screening in patients with advanced cancer treated in certified oncology centers: results of the prospective multicenter German KeSBa project.
Braulke F, Para S, Alt-Epping B, Tewes M, Bäumer M, Haberland B, Mayer-Steinacker R, Hopprich A, de Wit M, Grabe M, Bender-Säbelkampf S, Weßling C, Aulmann C, Gerlach C, Regincos P, Fischer F, Haarmann S, Huys T, Drygas S, Rambau A, Kiani A, Schnabel A, Buhl C, Seipke S, Hiemer S, Polata S, Meßmann M, Hansmeier A, Anastasiadou L, Letsch A, Wecht D, Hellberg-Naegele M, Krug U, Wedding U, van Oorschot B. Braulke F, et al. Among authors: bender sabelkampf s. J Cancer Res Clin Oncol. 2023 Sep;149(11):8829-8842. doi: 10.1007/s00432-023-04818-8. Epub 2023 May 5. J Cancer Res Clin Oncol. 2023. PMID: 37145199 Free PMC article.
Poor Adherence to Self-Applied Topical Drug Treatment Is a Common Source of Low Lesion Clearance in Patients with Actinic Keratosis-A Cross-Sectional Study.
Koch EAT, Steeb T, Bender-Säbelkampf S, Busch D, Feustel J, Kaufmann MD, Maronna A, Meder C, Ronicke M, Toussaint F, Wellein H, Berking C, Heppt MV. Koch EAT, et al. Among authors: bender sabelkampf s. J Clin Med. 2023 Jun 1;12(11):3813. doi: 10.3390/jcm12113813. J Clin Med. 2023. PMID: 37298008 Free PMC article.
Patients' and dermatologists' preferences in artificial intelligence-driven skin cancer diagnostics: A prospective multicentric survey study.
Haggenmüller S, Maron RC, Hekler A, Krieghoff-Henning E, Utikal JS, Gaiser M, Müller V, Fabian S, Meier F, Hobelsberger S, Gellrich FF, Sergon M, Hauschild A, Weichenthal M, French LE, Heinzerling L, Schlager JG, Ghoreschi K, Schlaak M, Hilke FJ, Poch G, Korsing S, Berking C, Heppt MV, Erdmann M, Haferkamp S, Drexler K, Schadendorf D, Sondermann W, Goebeler M, Schilling B, Kather JN, Fröhling S, Kaminski K, Doppler A, Bucher T, Brinker TJ; Collaborators. Haggenmüller S, et al. J Am Acad Dermatol. 2024 Apr 24:S0190-9622(24)00649-2. doi: 10.1016/j.jaad.2024.04.033. Online ahead of print. J Am Acad Dermatol. 2024. PMID: 38670313 Free article. No abstract available.
A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task.
Brinker TJ, Hekler A, Enk AH, Klode J, Hauschild A, Berking C, Schilling B, Haferkamp S, Schadendorf D, Fröhling S, Utikal JS, von Kalle C; Collaborators. Brinker TJ, et al. Eur J Cancer. 2019 Apr;111:148-154. doi: 10.1016/j.ejca.2019.02.005. Epub 2019 Mar 8. Eur J Cancer. 2019. PMID: 30852421 Free article.