View clinical trials related to Pigmentation Disorders.
Filter by:Artificial intelligence (AI) based on imaging holds tremendous potential to enhance visual diagnostic accuracy in the medical field. Amid the COVID-19 pandemic, limited access to in-person healthcare services drove shifts in medical care, hastening the adoption of telemedicine. In this context, AI usage for triage and decision support may be crucial for professionals to manage workload and improve performance. In dermatology, pigmented lesions, acne, and alopecia are three recurring pathology groups with high demand in dermatological centers. Both triage, clinical evaluation, and patient follow-up require in-person resources and specialist dedication. Employing tools like AI can benefit these professionals in reducing such processes and optimizing workload. Advancements in image recognition and interpretation, as well as in artificial intelligence, have spurred innovations in diagnosing various pathologies, including skin conditions. Computer-Aided Diagnosis (CAD) systems and other algorithm-based technologies have demonstrated the ability to classify lesion images with a competency comparable to that of an expert physician. In this study, the Legit.Health tool, developed by AI LABS GROUP S.L., which utilizes artificial intelligence to optimize clinical flow and patient care processes for skin conditions, will be evaluated. The purpose of this tool is to automatically prioritize patients with greater urgency, assign the type of consultation (dermatological or aesthetic), enhance diagnostic capability and detection of malignant pigmented lesions in auxiliary staff, and provide a visual record (photograph) of the condition for later review by external experts. Thus, the main objective of this study is to validate that Legit.Health, based on Artificial Intelligence, improves efficiency in clinical flow and patient care processes, thereby reducing time and cost of patient care through enhanced diagnostic accuracy and severity determination. The secondary objectives focus on measuring the diagnostic performance of Legit.Health: Demonstrate that Legit.Health enhances healthcare professionals' ability to detect malignant or suspicious pigmented lesions. Demonstrate that Legit.Health improves healthcare professionals' ability and precision in measuring the degree of involvement in patients with female androgenetic alopecia. Demonstrate that Legit.Health improves healthcare professionals' ability and precision in measuring the degree of involvement in patients with acne. Additionally, the study aims to assess the utility of this tool: Automate the triage/initial assessment process in patients presenting with pigmented lesions. Evaluate the reduction in healthcare resources usage by the center by reducing the number of triage consultations and directing the patient directly to the appropriate consultation (esthetic or dermatological). Evaluate Legit.Health's usability by the patient. Demonstrate that Legit.Health increases specialist satisfaction. Evaluate the reduction in healthcare resources usage by reducing the number of triage consultations and directing the patient directly to the appropriate consultation, whether in aesthetic or dermatological settings. Methodology Study Design Type This is an observational study, both prospective with a longitudinal character and retrospective case series. Study Period This study estimates a recruitment period of 3 months. The total study duration is estimated at 6 months, including the previous time for retrospective analysis and the necessary time after recruiting the last subject for database closure and editing, data analysis, and preparation of the final study report. The total study duration for each participant with pigmented lesions will be 1-3 months. The duration for patients with acne and alopecia will be 1 day. Study Population Adult patients (≥ 18 years) with skin pathologies treated at the Dermatology Unit of IDEI.
The purpose of this study is to correlate subjective skin pigment measurements as reported by patient-responses to the Fitzpatrick Skin Type Scale versus objective classification of skin pigment utilizing Individual Typology Angle (ITA) measurements.
Patients who have hypo-pigmented burn scar will have two scars chosen and randomized to treated scar and control scar. The subject will then have both scars treated with fractional ablative CO2 laser (FLSR). The treated scar will have bimatoprost delivered through the laser channels, while the control will have the vehicle (normal saline) only delivered. The treatment will continue for 14 days with twice daily application. The scars will then be monitored at a 2-week follow-up visit where levels of melanin will be evaluated. Tissue punch biopsies will also be used to evaluate the mechanism of action of bimatoprost. Treatment will occur for 6 sessions at 4-6 week intervals including follow- up visits and evaluations.
The goal of this clinical trial is to determine if pulse oximeters show an SaO2-SpO2 discrepancy that correlates with skin pigmentation such that pulse oximetry will overestimate oxygenation in newborns with darker skin. The main questions it aims to answer is if SaO2-SpO2 discrepancy varies with the degree of skin pigmentation among neonates, if gestational age has an influence on SaO2-SpO2 discrepancy, and if packed red blood cell (PRBC) transfusion has an influence on SaO2-SpO2 discrepancy in newborns with various degrees of light and dark skin. Researchers will compare SaO2 and SpO2 values in neonates of various skin pigmentation.
Cutaneous mastocytosis can be isolated or associated with systemic involvement. Urticaria pigmentosa affects around 80 to 85% of adult patients with cutaneous mastocytosis. It is also frequently present in patients with mastocytosis associated with systemic involvement (80% of patients in our experience). This skin damage is one of the causes of deterioration in quality of life in patients with mastocytosis, through the loss of self-esteem, due to the appearance of lesions. However there are not treatment for urticaria pigmentosa. Skin involvement in mastocytosis is linked to the accumulation of abnormal mast cells in the dermis. However, the mast cells are not pigmented and the brown-brown color characteristic of Urticaria pigmentosa is explained by melanin pigmentation of the epidermal basal layer.
Malignant melanoma (MM) is a deadly cancer, claiming globally about 160000 new cases per year and 48000 deaths at a 1:28 lifetime incidence (2016). The golden standard, dermoscopy, enables Dermatologists to diagnose with a sensitivity of 40%, and a 8-12% specificity, approximately. Additional diagnostic abilities are restricted to devices which are either unproved or experimental. A new technology of Neuronal Network Clinical Decision Support (NNCD) was developed. It uses a dermoscopic imaging device and a camera able to capture an image. The photo is transferred to a Cloud Server and further analyzed by a trained classifier. Classifier training is aimed at a high accuracy diagnosis of Dysplastic Nevi (DN), Spitz Nevi and Malignant Melanoma detection with assistance from a Deep Neuronal Learning network (DLN). Diagnosis output is an excise or do not excise recommendation for pigmented skin lesions. A total of 80 subjects already referred to biopsy pigmented skin lesions will be examined by dermoscopy imaging in a non interventional study. Artificial Intelligence output results, as measured by 2 different dermoscopes, to be compared to ground truth biopsies, by either classifier decisions or a novel Modified Classifier Technology output decisions. Primary endpoints are sensitivity and specificity detection of the NNCD techniques. Secondary endpoints are the positive and negative prediction ratios of NNCD techniques.
The purpose of this study is to understand the role of nutrition and its effects on the eye and other tissues. The investigators propose to study this by validating and correlating various non-invasive measurement methods of carotenoid concentrations in the human eye and skin tissue. A secondary objective is to correlate blood levels of carotenoids on a sub-set of participants.
This case series will assess the use of suction blister epidermal grafts harvested by a novel device on select patients with hypo pigmented skin or surgical skin wounds.
The purpose of this research is to develop non-invasive imaging modalities for assessment of skin. This is a pilot study which will use multiple imaging modalities to collect information on normal and lesional skin. The researchers understand that the purpose of this study is not to evaluate any particular treatment and an investigation of a new therapeutic intervention would require an additional protocol. Skin conditions to be studied include vascular lesions, pigmentary disorders, inflammatory conditions and neoplasms.