April 2026 in “Scientific Reports” This study presents a new automated computer vision system to objectively measure periocular hair density changes in breast cancer patients undergoing chemotherapy, demonstrating high precision in tracking individual changes and potential as a reliable tool for future clinical trials.
April 2023 in “Journal of Investigative Dermatology” This study assessed an AI-based mobile app for evaluating androgenetic alopecia severity, finding that it achieved 94% accuracy compared to human dermatologists, while participants often underestimated their own hair loss severity.
12 citations
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November 2023 in “Medicine” This study used bibliometric analysis to evaluate global research on AI applications in dermatology, identifying 406 relevant papers and highlighting current priorities such as machine learning for wound progression, AI in teledermatology, and applications for skin diseases.
5 citations
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January 2025 in “BMC Medical Informatics and Decision Making” This review examines the use of computer vision techniques, specifically deep learning architectures and image processing algorithms, for detecting and assessing skin conditions like vitiligo and dermatitis, and highlights the need for disease-specific datasets to improve automated diagnostic tools in dermatology.
September 2022 in “Research Square (Research Square)” In this study, the DIET-AI model, developed from a large dataset of over 200,000 images, demonstrated diagnostic performance for 31 skin diseases comparable to dermatologists of varying experience levels in 15 hospitals across China, supporting its potential effectiveness in clinical settings.
11 citations
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September 2012 in “Journal of animal physiology and animal nutrition” This study demonstrated that mink hair growth and pelt quality significantly depend on dietary protein levels and DL-methionine supplementation during the growing-furring period.
April 2023 in “Journal of Investigative Dermatology” This study reports that improvements to the EczemaNet pipeline, incorporating pixel-level segmentation and data augmentation, enhanced the reliability and interpretability of assessing atopic dermatitis severity from digital images.
June 2025 in “Journal of Cosmetic Dermatology” This study reviews AI's role in aesthetic medicine, noting it enhances diagnostic accuracy and personalized treatment planning, but faces challenges like ethical concerns, algorithmic biases, and regulatory issues that need addressing for successful integration.
7 citations
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November 2011 in “Skin Research and Technology” The authors observed that the patterned melanoderma on the hairless scalp of fair-skinned Caucasian men with androgenic alopecia resembled similar patterns seen on facial skin.
1 citations
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January 2023 in “IEEE access” This review examines advancements in deep learning methods for detecting dermatological conditions from dermoscopic images, summarizing available datasets and suggesting future research directions, but reports no new results.
April 2026 in “Scientific Reports” In this study, the proposed MSF-VMDNet, combining dual encoder networks with a multi-frequency domain mechanism, significantly outperformed existing methods in segmenting skin cancer tissues from histological slide images, achieving high accuracy with an MIoU of 95.37% and a Dice coefficient of 95.11%.
105 citations
,
February 2017 in “British Journal of Dermatology” This review discusses the range of long-term complications, including mucocutaneous, ocular, and psychological sequelae, for survivors of Stevens–Johnson syndrome and toxic epidermal necrolysis, but reports no new clinical results.
18 citations
,
June 1998 in “Circulation” This letter discusses how outdated measurement technology may obscure evidence of essential fatty acid deficiency in low-fat diet patients, potentially leading to undiagnosed EFA insufficiencies related to heart disease.
20 citations
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December 2017 in “Journal of Investigative Dermatology Symposium Proceedings” This article presents a computer imaging algorithm that may automate and enhance the Severity of Alopecia Tool scoring for alopecia areata through texture analysis of pediatric images.
5 citations
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February 2015 in “Dermatologica Sinica” In this study, a computer-aided imaging system accurately measured the width of balding areas in female pattern hair loss, correlating strongly with clinical staging severity.
January 2024 in “Wiadomości Lekarskie” This report highlights that a coherent vision and collaboration are needed in Poland to address healthcare workforce shortages, including allowing domestic academic titles to confirm Polish language proficiency.
1 citations
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January 2024 in “Wiadomości Lekarskie” This study evaluated a new computer-aided detection system for identifying Breast Arterial Calcification in mammograms, achieving 70% accuracy, but highlighted the need for a larger dataset to explore its relationship with cardiovascular diseases.
May 2025 in “The Journal of Rheumatology” In this case report, a 64-year-old woman diagnosed with both NMOSD and SLE showed mild improvement in vision and recovered from thrombocytopenia after treatment with glucocorticoids and Rituximab, highlighting the importance of accurate diagnosis and tailored treatment for overlapping autoimmune disorders.
November 2017 in “Journal of Surgical Academia” This case report describes a woman with systemic lupus erythematosus who developed non-progressive visual field defects after hypertensive retinopathy, with cotton wool spots indicating retinal nerve fiber microinfarctions.
January 2024 in “Wiadomości Lekarskie” This study developed an AI-driven method for classifying cells in Follicular Lymphoma cases, achieving a 63% F1-score, precision, and recall in distinguishing centroblasts from other cell types using whole slide images at x20 resolution.
11 citations
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February 2004 in “Clinical and Experimental Ophthalmology” In this case report, the authors suggest an association between prolonged finasteride use and anterior subcapsular cataracts, as observed in a 43-year-old man, marking the first reported instance.
January 2024 in “Wiadomości Lekarskie” In this study, researchers from the Swedish forensic medicine agency aimed to enhance routine practices by integrating affordable photogrammetry technology to improve 3D injury documentation, highlighting efforts to implement this in daily forensic work amid financial and staffing constraints.
31 citations
,
October 2012 in “Archives of ophthalmology” Laser hair reduction near the eyebrows can cause serious eye injuries even with safety measures.
23 citations
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February 2004 in “Clinical and Experimental Ophthalmology” This case report describes a 68-year-old woman with metastatic breast cancer who experienced significant improvement in visual acuity after stopping tamoxifen, which was associated with bilateral optic neuropathies.
20 citations
,
February 2004 in “Clinical and Experimental Ophthalmology” This paper presents two cases of rare intraorbital ophthalmic artery aneurysms associated with arteriovenous malformations and discusses their clinical presentation, pathogenesis, and management, but reports no new clinical outcomes.
13 citations
,
February 2004 in “Clinical and Experimental Ophthalmology” This report describes the clinical and histopathological features of lipoid proteinosis in a brother and sister with lid lesions, highlighting the importance of recognizing such lesions for diagnosis.
9 citations
,
February 2004 in “Clinical and Experimental Ophthalmology” This report documents the second known case of Castleman's disease in the lacrimal gland, diagnosed in an 84-year-old woman through histological examination after excising a left upper lid mass.
7 citations
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February 2004 in “Clinical and Experimental Ophthalmology” This case report details a 65-year-old woman who developed malignant melanoma in her right eye socket following previous eye trauma, treated by orbital exenteration.
5 citations
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February 2004 in “Clinical and Experimental Ophthalmology” This study presents two cases correlating the clinical appearance of adult-onset foveomacular vitelliform dystrophy with optical coherence tomography findings, describing the location of the yellow vitelliform material.