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Development and validation of two artificial intelligence models for diagnosing benign, pigmented facial skin lesions.

• Authors : Yang Y; Department of Cosmetic Laser Surgery, Hospital of Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China.; Ge Y

Subjects: Deep Learning* ; Skin Diseases*; Artificial Intelligence

• Source: Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] Publisher: Blackwell Country of Publication: England NLM ID: 9504453 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1600-0846

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A deep learning system for differential diagnosis of skin diseases.

• Authors : Liu Y; Google Health, Palo Alto, CA, USA.; Jain A

Subjects: Deep Learning* ; Diagnosis, Differential*; Skin Diseases/Skin Diseases/Skin Diseases/*diagnosis

• Source: Nature medicine [Nat Med] 2020 Jun; Vol. 26 (6), pp. 900-908. Date of Electronic Publication: 2020 May 18.Publisher: Nature Publishing Company Country of Publication: United States NLM ID: 9502015 Publication Model: Print-Electronic Cited Medium: Internet

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Current Approaches in the Treatment of Superficial Fungal Infections.

• Authors : Doğan, Bilal; Akpolat, Nebahat Demet; Kutlubay, Zekayi

Subjects: MYCOSES; DERMATOPHYTES; SKIN diseases

• Source: Journal of the Turkish Academy of Dermatology; 2023, Vol. 17 Issue 4, p83-86, 4p

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Associations between onychomycosis and COVID-19 clinical outcomes: a retrospective cohort study from a US metropolitan center.

• Authors : Rakita, Uros; Kaundinya, Trisha; Guraya, Armaan

Subjects: ONYCHOMYCOSIS; COVID-19; TREATMENT effectiveness

• Source: Archives of Dermatological Research; Nov2022, Vol. 314 Issue 9, p897-902, 6p

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Research from Medical University of Gdansk Has Provided New Study Findings on Artificial Intelligence (Artificial Intelligence in the Diagnosis of Onychomycosis-Literature Review).

Subjects: DERMATOMYCOSES; ARTIFICIAL intelligence; MEDICAL technology

• Source: Health & Medicine Week; 9/13/2024, p5296-5296, 1p

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The change of causative pathogens in toenail onychomycosis.

• Authors : Akpinar Kara, Yesim

Subjects: ONYCHOMYCOSIS; TOENAILS; TIME-of-flight mass spectrometry

• Source: Journal of Cosmetic Dermatology; Jul2021, Vol. 20 Issue 7, p2311-2316, 6p

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Evaluation of the Diagnostic Accuracy of an Online Artificial Intelligence Application for Skin Disease Diagnosis.

• Authors : ZAAR, Oscar; LARSON, Alexander; POLESIE, Sam

Subjects: SKIN disease diagnosis; ARTIFICIAL intelligence; SKIN diseases

• Source: Acta Dermato-Venereologica; Sep2020, Vol. 100 Issue 9, p1-6, 6p

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Dermatologist‐level classification of malignant lip diseases using a deep convolutional neural network.

• Authors : Cho, S.I.; Sun, S.; Mun, J.‐H.

Subjects: CONVOLUTIONAL neural networks; LIP diseases; PHYSICIANS

• Source: British Journal of Dermatology; Jun2020, Vol. 182 Issue 6, p1388-1394, 7p

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Trichosporon spp como agente causal de onicomicosis.

• Authors : Mendoza, Mireya¹ ; Rico, M. Elena¹

Subjects: ONYCHOMYCOSIS; MYCOLOGY laboratories; YEAST

• Source: Revista Kasmera. ene-jun2011, Vol. 39 Issue 1, p26-30. 5p.

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Dermatophytoma: An under-recognized condition.

• Authors : Leeyaphan, Charussi¹; Bunyaratavej, Sumanas¹; Prasertworanun, Nuntida¹

Subjects: *NAIL diseases; *SKIN diseases

• Source: Indian Journal of Dermatology, Venereology & Leprology. Mar/Apr2016, Vol. 82 Issue 2, p188-189. 2p.

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