3 citations
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July 2024 in “Journal of Vascular Diseases” This review compiles existing research on ischemia-modified albumin (IMA) as a biomarker for myocardial ischemia, highlighting current gaps in understanding its formation and detection, with no new clinical results reported.
3 citations
,
August 2024 in “Cureus” This study found that DALL-E 2 performed poorly in generating accurate images of most pediatric dermatological conditions, highlighting the need for more domain-specific and inclusive training data.
3 citations
,
October 2006 in “Journal of dermatology” This study reported that X-ray microscopy provides more intact images of hair's internal structure compared to transmission electron microscopy, particularly for observing fine details like cuticle coarsening and cortex cracks.
1 citations
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October 2013 This dissertation proposes a framework for analyzing medical images on mobile devices but presents no new research findings, focusing instead on development methodologies and their applications to hair transplant and glaucoma contexts.
1 citations
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January 2013 in “International Journal of Trichology” A girl with red hair developed hair-pulling and body image disorders after being bullied for her hair color.
February 2026 in “Optics” This study demonstrates that polarized second harmonic generation imaging effectively monitors wool fiber stretching, revealing significant structural changes in keratin alignment that improve textile performance.
November 2021 in “International Journal of Research in Medical Sciences & Technology” This article reviews optical coherence tomography for skin imaging and its potential clinical uses, but does not include new clinical findings.
In this study, imaging techniques showed that nanostructured lipid carrier formulations distributed ascorbic acid more effectively across skin layers compared to conventional cream formulations, suggesting a better method for skin permeation.
This thesis explores how optical coherence tomography and advanced imaging methods may address clinical needs in fields like interventional pulmonology and dermatology, highlighting their potential for disease assessment and staging.
October 2017 in “Journal of Investigative Dermatology” This article presents a diagnostic quiz based on clinical images and reports findings from the mentioned article but does not provide new clinical results.
This study describes a system called FOLLYSIS©, which uses mathematics and image analysis to optimize Follicular Unit Extraction hair transplants, showing high accuracy in measuring donor area density and reducing donor site injury.
May 2022 in “Dermatology practical & conceptual” This study developed new graded visual scales integrating macroscopic and trichoscopic images for assessing the severity of androgenetic alopecia in men and women, potentially aiding in more objective disease evaluation.
May 2020 in “Journal of Asian Medical Students' Association” This study concluded that psychological well-being and self-image among Filipino males with androgenetic alopecia may be influenced by age, education level, and disease severity.
18 citations
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August 2009 in “Skin Research and Technology” In this study, optical coherence tomography was used to produce 3D images of human hair, revealing that after chemical treatment with ammonium thioglycolate, the main hair structures were not identifiable due to damage.
8 citations
,
August 2021 in “Computational and Mathematical Methods in Medicine” This article proposes a machine learning framework for classifying healthy hair and alopecia areata using image processing and classification techniques, but does not report new clinical findings.
8 citations
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January 2022 in “Sensors” This study analyzed deep learning's application to automate hair density measurement in images and found that YOLOv4 had the best performance among tested algorithms, with a mean average precision of 58.67.
6 citations
,
January 2018 in “Multimedia Tools and Applications” This study proposes a method for automatically removing hairs from skin lesion images by using edge-tangent flow for hair detection and texture synthesis for restoring occluded regions with minimal artifacts.
3 citations
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August 2024 in “Skin Research and Technology” In this study, LC-OCT imaging was found to noninvasively identify specific features of cicatricial alopecia due to lupus erythematosus, such as hyperreflective collagen fibers, which may aid in distinguishing it from other types of scarring alopecia.
2 citations
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July 2016 in “Journal of nature and science” This study found that human hair shafts emit electromagnetic signals that can create images through thin glass barriers, potentially influenced by static electricity.
January 2024 in “Wiadomości Lekarskie” This abstract discusses the transformative impact of digital technologies like 3D scanning and intraoral imaging in dentistry, emphasizing their role in enhancing implant placement precision and root canal treatments, which can improve treatment processes and patient outcomes.
May 2026 in “Indian Dermatology Online Journal” This study highlights the prevalence of photographic bias in before-and-after images in dermatology, emphasizing how factors like lighting and camera angles can mislead patients and influence expectations, often leading to dissatisfaction and unrealistic aesthetic standards.
March 2026 in “Journal of Investigative Dermatology” This study found that GPT-4o demonstrated high concordance with in-person and image-based provider assessments in generating SALT scores for alopecia areata, suggesting its potential as an adjunct tool in clinical practice for automating these assessments.
October 2023 in “Journal of the Endocrine Society” This case report describes a challenging diagnosis of Cushing’s syndrome using endocrine tests and imaging, which ultimately identified an adrenal etiology. Successful treatment involved a non-invasive desmopressin stimulation test and right adrenalectomy, leading to improvement in symptoms and health outcomes for the patient.
January 2018 in “Communications in computer and information science” This study developed a novel system that can automatically estimate hair loss parameters from images without expert input, reporting satisfactory results from testing on samples collected in Kolkata.
September 2017 in “Journal of Investigative Dermatology” In this study, the novel ASAXA-μCT imaging method identified that the shrinkage of sweat glands with aging causes dermal defects, reducing skin elasticity and contributing to wrinkling and sagging.
November 2013 in “John Wiley & Sons, Ltd eBooks” This chapter reviews various mucocutaneous manifestations of endocrine disorders and provides illustrative images of these clinical features, but reports no new research findings.
May 2010 in “Europe PMC (PubMed Central)” This chapter discusses the synthesis and analysis of near-infrared fluorescent activity-based probes for imaging cysteine protease activity, reporting potential benefits for disease diagnosis but noting challenges in imaging specific locations with high cathepsin activity.
February 2023 in “Default Digital Object Group” This study demonstrated that a single multimode fiber can be used for single-shot wide-field reflectance imaging, achieving high correlation with the ground truth and enabling real-time microendoscopy at up to 180 frames per second.
44 citations
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August 2010 in “Journal of Investigative Dermatology” Alopecia areata seriously lowers quality of life, especially affecting self-image, mental health, and social life.
36 citations
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October 2022 in “ULTRASONOGRAPHY” This article reviews the expanding role of dermatologic ultrasonography in patient management for various skin conditions, highlighting its advantages over other imaging techniques, but reports no new findings.