Emergency Use and Efficacy of an Asynchronous Teledermatology System as a Novel Tool for Early Diagnosis of Skin Cancer during the First Wave of COVID-19 Pandemic

Basic principles of artificial intelligence in dermatology explained using melanoma

The use of artificial intelligence (AI) continues to establish itself in the most diverse areas of medicine at an increasingly fast pace. Nevertheless, many healthcare professionals lack the basic technical understanding of how this technology works, which severely limits its application in clinical settings and research. Thus, we would like to discuss the functioning and classification of AI using melanoma as an example in this review to build an understanding of the technology behind AI. For this purpose, elaborate illustrations are used that quickly reveal the technology involved. Previous reviews tend to focus on the potential applications of AI, thereby missing the opportunity to develop a deeper understanding of the subject matter that is so important for clinical application. Malignant melanoma has become a significant burden for healthcare systems. If discovered early, a better prognosis can be expected, which is why skin cancer screening has become increasingly popular and is supported by health insurance. The number of experts remains finite, reducing their availability and leading to longer waiting times. Therefore, innovative ideas need to be implemented to provide the necessary care. Thus, machine learning offers the ability to recognize melanomas from images at a level comparable to experienced dermatologists under optimized conditions.

Grundprinzipien der künstlichen Intelligenz in der Dermatologie erklärt am Beispiel des Melanoms

Der Einsatz von künstlicher Intelligenz (KI) setzt sich in den verschiedensten Bereichen der Medizin immer schneller durch. Dennoch fehlt vielen medizinischen Kollegen das technische Grundverständnis für die Funktionsweise dieser Technologie, was ihre Anwendung in Klinik und Forschung stark einschränkt. Daher möchten wir in dieser Übersichtsarbeit die Funktionsweise und Klassifizierung der KI am Beispiel des Melanoms erörtern, um ein Verständnis für die Technologie hinter der KI zu schaffen. Dazu werden ausführliche Illustrationen verwendet, die die Technologie schnell erklären. Bisherige Übersichten konzentrieren sich eher auf die potenziellen Anwendungen der KI und verpassen die Gelegenheit, ein tieferes Verständnis für die Materie herauszuarbeiten, das für die klinische Anwendung so wichtig ist. Das maligne Melanom ist zu einer erheblichen Belastung für die Gesundheitssysteme geworden. Bei frühzeitiger Entdeckung ist eine bessere Prognose zu erwarten, weshalb das Hautkrebs‐Screening immer populärer und von den Krankenkassen unterstützt wird. Die Zahl der Fachärzte ist jedoch begrenzt, was ihre Verfügbarkeit einschränkt und zu längeren Wartezeiten führt. Daher müssen innovative Ideen umgesetzt werden, um die notwendige Versorgung zu gewährleisten. Das maschinelle Lernen bietet die Möglichkeit, Melanome auf Bildern zu erkennen, und zwar auf einem Niveau, das mit dem von erfahrenen Dermatologen – unter optimierten Bedingungen – vergleichbar ist.

Insights, Advantages, and Barriers of Teledermatology vs. Face-to-Face Dermatology for the Diagnosis and Follow-Up of Non-Melanoma Skin Cancer: A Systematic Review

BACKGROUND

Teledermatology is employed in the diagnosis and follow-up of skin cancer and its use was intensified during and after the COVID-19 pandemic. At the same time, demographic changes result in an overall increase in non-melanoma skin cancer and skin precancerous lesions. The aim of this study was to elucidate the role of teledermatology in comparison to conventional face-to-face dermatology for such lesions and determine the advantages and limitations of this workflow for patients and physicians.

METHODS

Research was performed using relevant keywords in MEDLINE and CENTRAL. Relevant articles were chosen following a predetermined standardized extraction form.

RESULTS

Diagnostic accuracy and interrater/intrarater agreement can be considered comparable-although lower-than in-person consultation. Improvement of particular features such as image quality, medical history availability, and teledermoscopy can further increase accuracy. Further aspects of limitations and advantages (mean time-to-assessment, time-to-treatment, cost-effectiveness) are discussed.

CONCLUSIONS

Teledermatology has comparable diagnostic accuracy with face-to-face dermatology and can be utilized both for the effective triage of non-melanocytic epithelial tumors and precancerous lesions, as well as the follow-up. Easy access to dermatologic consultation with shorter mean times to diagnostic biopsy and/or treatment coupled with cost-effectiveness could compensate for the lower sensitivity of teledermatology and offer easier access to medical care to the affected populations.

Review of Teledermatology: Lessons Learned from the COVID-19 Pandemic

Utilization of telemedicine for dermatology has greatly expanded since the start of the COVID-19 pandemic, with over 500 new teledermatology studies published since 2020. An updated review on teledermatology is necessary to incorporate new findings and perspectives, and educate dermatologists on effective utilization. We discuss teledermatology in terms of diagnostic accuracy and clinical outcomes, patient and physician satisfaction, considerations for special patient populations, published practice guidelines, cost effectiveness and efficiency, as well as administrative regulations and policies. Our findings emphasize the need for dermatologist education, prioritization of reliable reimbursement systems, and technological innovations to support the continued development of teledermatology in the post-pandemic era.

Implementation and evaluation of a store-and-forward teledermatology workflow in a United States safety-net hospital urgent care emergency center: A retrospective cohort study

Background

Teledermatology (TD) is an important method for increasing access to care in outpatient settings. However, less is known regarding its use in emergency/urgent care centers.

Objective

To evaluate the effect of TD on urgent care emergency center (UCEC) dwell time and postencounter utilization.

Study type and methods

This retrospective cohort study evaluated patients in a safety-net hospital (Parkland Health, Dallas, Texas, USA) UCEC, who (1) received a TD consult in 2018, (2) were referred to dermatology clinic in 2017, or (3) were referred to dermatology clinic in 2018 without a TD consult.

Results

We evaluated 2024 patients from 2017 to 2018. Of the 973 referred to dermatology clinic in 2018, 332 (34%) received TD consultations. Mean dwell time for patients receiving TD was longer versus the 2017 cohort (303 vs 204 minutes, respectively). Patients receiving TD consultation with inflammatory skin conditions had lower odds of dermatology clinic visits compared with those that did not (odds ratio, 0.5; 95% CI, 0.3-0.8). Teledermatology was not associated with differences in repeat UCEC utilization.

Limitations

Single institution study and inability to account for differences in patient complexity.

Conclusion

TD increases dwell time in a safety-net hospital's UCEC but can reduce dermatology clinic utilization for patients with inflammatory skin conditions.

Syphilis, the Great Imitator-Clinical and Dermoscopic Features of a Rare Presentation of Secondary Syphilis

Syphilis is characterized by a wide range of variable clinical symptoms; therefore, it is often referred to as "The Great Imitator". Here, we report the case of a 69-year-old hepatitis-C-positive MSM patient, who was admitted to our clinic due to a solitary firm painless erythematous maculopapular lesion with a central crater-like crust on the upper right thigh that occurred two months prior. The dermoscopy showed an erythematous, copper-colored, oval lesion with diffuse monomorphic dotted and glomerular vessels, central crust, and circular scaling (Biett's sign). The histological findings ruled out neoplasia and described a plasma cell infiltrate and endothelial swelling. Finally, the combination of the dermoscopic image, histological findings and the additionally acquired knowledge about the sexual history of the patient at the second visit led to the diagnosis, which was then confirmed with serological tests. Dermoscopy may become a supportive tool to facilitate the recognition of secondary syphilis; however, the reporting of these atypical cases is crucial to highlight the many faces of the disease so that clinicians consider syphilis as part of the differential diagnosis of non-specific lesions.

The Role of Teledermatology During the COVID-19 Pandemic: A Narrative Review

Teledermatology represented one of the most important and useful tools during the COVID-19 pandemic era. Indeed, due to the severe restriction, and to reduce the spread of the infection, different measures were applied among different countries and hospitals to ensure a continuity of care for patients. In this scenario, teledermatology played a central role, especially in the management of patients suffering from chronic inflammatory skin diseases. The aim of this narrative review is to describe the role of teledermatology during the COVID-19 pandemic to analyze main strengths and limitations of this tool, as well as to provide future perspectives in clinical applications.

Melanoma Detection by Non-Specialists: An Untapped Potential for Triage?

INTRODUCTION

The incidence of melanoma increased considerably in recent decades, representing a significant public health problem. We aimed to evaluate the ability of non-specialists for the preliminary screening of skin lesions to identify melanoma-suspect lesions.

MATERIALS AND METHODS

A medical student and a dermatologist specialist examined the total body scans of 50 patients.

RESULTS

The agreement between the expert and the non-specialist was 87.75% (κ = 0.65) regarding the assessment of clinical significance. The four parameters of the ABCD rule were evaluated on the 129 lesions rated as clinically significant by both observers. Asymmetry was evaluated similarly in 79.9% (κ = 0.59), irregular borders in 74.4% (κ = 0.50), color in 81.4% (κ = 0.57), and diameter in 89.9% (κ = 0.77) of the cases. The concordance of the two groups was 96.9% (κ = 0.83) in the case of the detection of the Ugly Duckling Sign.

CONCLUSIONS

Although the involvement of GPs is part of routine care worldwide, emphasizing the importance of educating medical students and general practitioners is crucial, as many European countries lack structured melanoma screening training programs targeting non-dermatologists.