Clinical Research Directory
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3 clinical studies listed.
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Tundra lists 3 Dermatology clinical trials. Each listing includes eligibility criteria, study locations, and direct links to research sites in the Tundra directory.
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NCT07680218
Clinical and Diagnostic Profile of Dermatology Consultations in a Tertiary Care University Hospital: A Retrospective Observational Study
Background: Dermatology consultations requested by non-dermatology departments in hospital settings are common and play a critical role in patient management. These consultations often involve diagnostic challenges and may influence treatment decisions, hospital stay, and clinical outcomes. Objective: To evaluate the clinical and diagnostic characteristics of dermatology consultations in a tertiary care university hospital over a two and a half years period.
Gender: All
Updated: 2026-07-02
1 state
NCT05987553
The Influence of an E-learning Program on Recognition of Actinic Keratosis
The evaluation on the diagnostic accuracy of actinic keratosis recognition by general practitioners before and after participation on an e-learning program.
Gender: All
Ages: 18 Years - 67 Years
Updated: 2025-04-04
NCT06724627
Application of the Belle.AI Dermatological Image Reference System for Patient Diagnosis in an Active Clinical Setting
The goal of this research study is to test a new, investigational tool that uses artificial intelligence (AI) to help primary care providers assess skin conditions. This tool is an AI-powered dermatology image reference app that works with a smartphone. For clarity, the AI makes no diagnoses; it provides reference images. Primary care providers then use their own medical judgement and training to make the diagnosis. The sponsor aims to compare the diagnoses made by primary care providers (such as doctors, nurse practitioners, and physician assistants) with the support of the AI tool compared to a panel of dermatologists, who are setting the gold standard. By doing so, the sponsor can determine the value of the AI tool for primary care providers and understand how it might be used alongside traditional clinical care. This AI capability complies with FDA regulatory guidelines and is not considered a medical device, similar to a Google image search, which returns similar looking images for reference purposes. For intervention, they healthcare providers use their own training and clinical judgement to make the diagnosis, and not the AI.
Gender: All
Updated: 2024-12-09
1 state