Results 51 to 60 of about 583,847 (429)
Plasma Medicine: Applications of Cold Atmospheric Pressure Plasma in Dermatology
Oxidative Medicine and Cellular Longevity, 2019 The ability to produce cold plasma at atmospheric pressure conditions was the basis for the rapid growth of plasma-related application areas in biomedicine. Plasma comprises a multitude of active components such as charged particles, electric current, UV
T. Bernhardt +5 more
semanticscholar +1 more source
Pharmaceutics, 2020 Hydrogels are playing an increasingly important role in medicine and pharmacy. Due to their favorable physicochemical properties, biocompatibility, and designed interaction with living surroundings, they seem to be one of the most promising groups of ...
Martyna Zagórska-Dziok, M. Sobczak
semanticscholar +1 more source
Joint Dermatological Lesion Classification and Confidence Modeling with Uncertainty Estimation [PDF]
arXiv, 2021 Deep learning has played a major role in the interpretation of dermoscopic images for detecting skin defects and abnormalities. However, current deep learning solutions for dermatological lesion analysis are typically limited in providing probabilistic predictions which highlights the importance of concerning uncertainties.
arxiv
The role of the Dermatology Nurse Practitioner in the Western Cape as perceived by nurses and other health care practitioners [PDF]
, 2022 Background information Most dermatologists in South Africa practice in urban areas whereas rural populations have limited access to dermatology services.
Ndyenga, Nomgcobo Anthia
core +1 more source
Immunobiologicals in dermatology
Anais Brasileiros de Dermatologia, 2022 Immunobiologicals are a reality in current clinical practice and have increasingly gained space in the inflammatory disease scenario, especially in dermatology, with approved drugs for psoriasis, atopic dermatitis, and hidradenitis suppurativa, in addition to many others undergoing study.
Dimitri Luz Felipe da Silva +5 more
openaire +5 more sources
Towards Realization of Augmented Intelligence in Dermatology: Advances and Future Directions [PDF]
arXiv, 2021 Artificial intelligence (AI) algorithms using deep learning have advanced the classification of skin disease images; however these algorithms have been mostly applied "in silico" and not validated clinically. Most dermatology AI algorithms perform binary classification tasks (e.g.
arxiv
A survey of the treatment and management of patients with severe chronic spontaneous urticaria. [PDF]
, 2019 Chronic spontaneous urticaria (CSU) is characterized by the recurrent appearance of weals, angio‐oedema or both, occurring at least twice weekly for longer than 6 weeks.1 It is often managed with antihistamines, but occasionally requires other systemic ...
Dua, J +6 more
core +3 more sources
Dermatologic Therapy, 2020 The Coronavirus Disease 2019 (COVID‐19) emerged late in Turkey but it showed a rapid progression later. We aimed to investigate the changes in the number of patients who requested a dermatology outpatient clinic visit due to the increased social and ...
Ömer Kutlu +4 more
semanticscholar +1 more source
Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning [PDF]
arXiv, 2022 Deep learning models have been deployed in an increasing number of edge and mobile devices to provide healthcare. These models rely on training with a tremendous amount of labeled data to achieve high accuracy. However, for medical applications such as dermatological disease diagnosis, the private data collected by mobile dermatology assistants exist ...
arxiv
The Boston Medical and Surgical Journal, 1906 n ...
Bowen, John T., Towle, Harvey P.
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