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Artificial Intelligence in Diagnosis and Management of Nail Disorders: A Narrative Review.
Indian Dermatol Online J
December 2024
Financial Research and Executive Insights, Everest Group, Gurugram, Haryana, India.
Background: Artificial intelligence (AI) is revolutionizing healthcare by enabling systems to perform tasks traditionally requiring human intelligence. In healthcare, AI encompasses various subfields, including machine learning, deep learning, natural language processing, and expert systems. In the specific domain of onychology, AI presents a promising avenue for diagnosing nail disorders, analyzing intricate patterns, and improving diagnostic accuracy.
View Article and Find Full Text PDFA Case of Rapid Transformation of a Nail Matrix Nevi to Melanoma After Messenger RNA COVID-19 Vaccine: A Cause or a Coincidence?
Cureus
December 2024
Department of Dermatology, Saint Joseph University, Hôtel-Dieu de France Hospital, Beirut, LBN.
Subungual melanoma is a variant of acral lentiginous melanoma that arises from the nail matrix. Subungual melanomas present unique clinical challenges due to diagnostic difficulties and the lack of a standardized protocol for surveillance, also, there are no evidence-based studies that determine the ideal frequency and duration of clinical and dermoscopy follow-ups in patients with longitudinal melanonychia. This is highlighted by a case of longitudinal melanonychia in a 53-year-old patient who underwent malignant transformation to subungual melanoma after a biphasic growth.
View Article and Find Full Text PDFAutonomous detection of nail disorders using a hybrid capsule CNN: a novel deep learning approach for early diagnosis.
BMC Med Inform Decis Mak
December 2024
Department of Electrical Power, Adama Science and Technology University, Adama, 1888, Ethiopia.
Major underlying health issues can be indicated by even minor nail infections. Subungual Melanoma is one of the most severe kinds since it is identified at a much later stage than other conditions. The purpose of this research is to offer novel deep-learning algorithms that target the autonomous categorization of six forms of nail disorders by employing images: Blue Finger, Clubbing, Pitting, Onychogryphosis, Acral Lentiginous Melanoma, and Normal Nail or Healthy Nail Appearance.
View Article and Find Full Text PDFAssociation of Weight-Bearing Activity and Prognosis of Plantar Melanoma: An Unanticipated Perspective.
Ann Surg Oncol
December 2024
Department of Plastic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Background: In the development of plantar melanoma, it is suspected that mechanical stress caused by weight-bearing activities, such as walking, rather than ultraviolet exposure, may play a significant role, showing a concentrated prevalence in areas of the foot where weight-bearing actions are prevalent. However, research investigating whether such mechanical stress influences disease prognosis has been limited. This study was designed to investigate the association between weight-bearing activity and the oncologic outcomes of patients with plantar melanoma.
View Article and Find Full Text PDFA Review of the Histopathology of Nail Unit Tumors Including Selection of the Optimal Surgical Sampling.
Skin Appendage Disord
December 2024
Department of Dermatology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Background: A wide variety of tumors can affect the nail unit, with some commonly mistaken as inflammatory or infectious diseases. Obtaining an optimal sample for histopathologic evaluation requires understanding of nail unit anatomy as well as the histopathology of the suspected nail tumor.
Summary: This review discusses clinical and histopathologic features of a subset of benign and malignant nail tumors, including subungual melanoma, nail unit squamous cell carcinoma in situ, nail unit squamous cell carcinoma, onychomatricoma, onychopapilloma, onychocytic matricoma, and onychocytic carcinoma.
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