Background: In recent studies, convolutional neural networks (CNNs) outperformed dermatologists in distinguishing dermoscopic images of melanoma and nevi. In these studies, dermatologists and artificial intelligence were considered as opponents. However, the combination of classifiers frequently yields superior results, both in machine learning and among humans. In this study, we investigated the potential benefit of combining human and artificial intelligence for skin cancer classification. Methods: Using 11,444 dermoscopic images, which were divided into five diagnostic categories, novel deep learning techniques were used to train a single CNN. Then, both 112 dermatologists of 13 German university hospitals and the trained CNN independently classified a set of 300

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Adherence describes how a patient follows a medical regime recommended by a healthcare provider. Poor treatment adherence represents a complex and challenging problem of international healthcare systems, as it has a substantial impact on clinical outcomes and patient safety and constitutes an important financial burden. Since it is one of the most common causes of treatment failure, it is extremely important for physicians to reliably distinguish between non‐adherence and non‐response. This systematic review aims to summarize the current literature on treatment adherence in dermatology, focusing on chronic inflammatory skin diseases such as psoriasis, atopic dermatitis and acne. A systematic literature search was performed using the PubMed Database, including articles from 2008 to 2018. Low treatment adherence is a multidimensional phenomenon defined by the interplay of numerous factors and should under no circumstances be considered as the patient's fault alone. Factors influencing treatment adherence in dermatology include patient characteristics and beliefs, treatment efficacy and duration, administration routes, disease chronicity and the disease itself. Moreover, the quality of the physician‐patient relationship including physician‐time available for the patient plays an important role. Understanding patients’ adherence patterns and the main drivers of non‐adherence creates opportunities to improve adherence in the future. Strategies to increase treatment adherence range from reminder programs to simplifying prescriptions or educational interventions. Absolute adherence to treatment may not be realistically achievable, but efforts need to be made to raise awareness in order to maximize adherence as far as possible.

Remote consultations are likely to grow in importance in the following years, especially if the coronavirus disease 2019 (COVID-19) pandemic continues. Patients' opinions on teledermatology have already been analyzed, but a current analysis during the COVID-19 pandemic is lacking. The purpose of this survey was to investigate the satisfaction of patients who had received dermatological advice via telephone during the COVID-19 pandemic and to analyze their general opinion about eHealth as well as possible limitations for a broad implementation. Ninety-one patients managed in the dermatology department using telephone consultation during the COVID-19 pandemic were interviewed.An anonymous questionnaire, including the established quality of life questionnaire (Dermatology Life Quality Index [DLQI]), was used. It was found that men were more satisfied with telephone consultations than women (p = 0.029), educational level and age did not correlate with satisfaction (p = 0.186 and 388, respectively), and the longer the waiting time for a telephone consultation, the lower the satisfaction (p = 0.001). Grouped analysis of all participants showed that the majority (54.0% n = 38/71) were "very happy" with the telephone consultation. Higher disease burden (DLQI) was associated with lower satisfaction (p = 0.042). The main stated reasons for using telemedicine were shorter waiting times (51.6% n = 47/91) and no travel requirement (57.1% n = 47/91). Almost onequarter (23.1% n = 21/89) of patients would use teledermatology in the future, 17.6%(n = 16/89) would not, and 57.1% (n = 51/89) would only use it in addition to a traditional consultation with personal contact. In conclusion, most patients in the study group still preferred traditional face-to-face medical consultations to telephone consultations, but also desired an add-on telemedical tool. Dermatological care using more modern telemedicine technologies than telephone conferencing is needed to better address patients' desires, especially in times of the COVID-19 pandemic.

ZusammenfassungDupilumab ist ein monoklonaler Antikörper, der an die gemeinsame α‑Kette des IL(Interleukin)-4- und IL-13-Rezeptors bindet und den Th(T-Helferzelle)2-Signalweg blockiert, der bei der Entstehung des atopischen Ekzems eine Schlüsselrolle spielt. Wir berichten über den Fall eines 40-jährigen Patienten, der nach 6 Wochen Dupilumab-Therapie eine histologisch gesicherte Psoriasis entwickelte. Das eigenmächtige, abrupte Absetzen der ungewöhnlichen, nicht leitliniengerechten oralen Steroidtherapie und die Blockade des Th2-Signalwegs durch Dupilumab dürften die entscheidenden Auslösefaktoren für die erstmalige Ausbildung der Psoriasis bei unserem Patienten gewesen sein.