Artificial intelligence (AI) has wide applications in healthcare, including dermatology. Machine learning (ML) is a subfield of AI involving statistical models and algorithms that can progressively learn from data to predict the characteristics of new samples and perform a desired task. Although it has a significant role in the detection of skin cancer, dermatology skill lags behind radiology in terms of AI acceptance. With continuous spread, use, and emerging technologies, AI is becoming more widely available even to the general population. AI can be of use for the early detection of skin cancer. For example, the use of deep convolutional neural networks can help to develop a system to evaluate images of the skin to diagnose skin cancer. Early detection is key for the effective treatment and better outcomes of skin cancer. Specialists can accurately diagnose the cancer, however, considering their limited numbers, there is a need to develop automated systems that can diagnose the disease efficiently to save lives and reduce health and financial burdens on the patients. ML can be of significant use in this regard. In this article, we discuss the fundamentals of ML and its potential in assisting the diagnosis of skin cancer.

Hidradenitis suppurativa (HS) is a chronic inflammatory disorder of the apocrine glands characterized by recurrent episodes. Although several therapies exist, none is completely curative. Several immunosuppressives have been studied with encouraging results and targeted approaches. In this review, we highlight the various immunosuppressives used in this condition along with their salient features to enable physicians to choose the correct therapy for their patients. The search of the peer-reviewed literature included clinical trials, scientific reviews, case series, case reports, and guidelines. The literature was identified from electronic databases (MEDLINE and PubMed) through November 2021; additional articles were included from the references of the identified articles.

Atopic dermatitis (AD) is a chronic inflammatory skin disorder associated with intense itch/pruritus and skin lesions. Several modalities of treatment including topical therapy, systemic agents, an...

Background: The humans have been disproportionately affected by the coronavirus disease (COVID‐19) pandemic. The novel coronavirus or the severe acute respiratory syndrome coronavirus 2 (SARS‐COV2) causing coronavirus disease (COVID‐19) has spread across the globe. Androgens have been suggested to have a role in COVID‐19 pathogenesis.Objective: The objective of this review article is to study the link between androgens and COVID‐19.Methodology: PubMed and Google Scholar search was performed to retrieve literature related to the topic. Review articles, clinical trials, retrospective studies, observational studies, and case–control studies were considered for the review.Results: Severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infected men are more inclined to be hospitalized for intensive care unit (ICU) as compared with women. This difference in the ICU admissions provides some clue for possible influence of androgens in the severity of COVID‐19. The contribution of androgen and androgen receptor in COVID‐19 disease and its severity, as well as the numerous medications targeting androgen and its receptor for lowering COVID‐19 disease severity, are discussed in this review. Available literature suggests the role of androgen in the pathogenesis and severity of COVID‐19. Sensitivity for androgen may be an important factor in regulating the severity of COVID‐19 disease.Conclusion: There is a scope for the development of COVID‐19 treatments based on androgen suppression. Clinical trials may furnish pivotal data and add more evidence‐based options for the management of COVID‐19.