View clinical trials related to Skin Cancer.
Filter by:In this study an artificial intelligence (AI) tool for skin cancer diagnosis is implemented in a teleldermatoscopy platform. The aim is to study the effects on clinician diagnostic accuracy, management decisions, and confidence. Furthermore, this prospective randomized study investigates the role of human factors in determining clinician reliance on AI tools and the consequent accuracy in a real-world setting.
Background: The worldwide incidence of skin cancer has been rising for 50 years, in particular the incidence of malignant melanoma has increased approx. 2-7% annually and is the most common cancer amongst Danes aged 15-34. Currently there is a significant amount of misdiagnosis of skin cancer and mole cancer, and most excised skin lesions are benign. Previous studies have shown that there is no significant increase in doctors diagnostic accuracy during the first 6 years of clinical work. The resources spend on healthy people could be put to better use, if the Benign-Malignant Ratio could be lowered. This could potentially be done by better educating the doctors during their everyday clinical practice. Aim: The aim of this study is to investigate the dose/response effect of an AI augmented training and clinical feedback on the diagnostic accuracy of skin cancer and clinical decisions among doctors from specialized skin cancer centers. Research question: How much specialized doctors need to train before their diagnostic accuracy and clinical decisions change?
The purpose of this study is to evaluate patient satisfaction and quality of life as it relates to skin cancer surgery. This research study involves taking a one-time survey online.
The purpose of this study is to determine whether a skin cancer prevention website is effective at reduce female teenagers' desire to use indoor tanning and ultimately their use of indoor tanning over an 18 month period.