RH Patel, EA Foltz, A Witkowski, J Ludzik - Cancers, 2023 - mdpi.com
Simple Summary Melanoma is the most dangerous type of skin cancer worldwide. Early detection of melanoma is crucial for better outcomes, but this often can be challenging. This …
Skin cancer is one of the most common diseases that can be initially detected by visual observation and further with the help of dermoscopic analysis and other tests. As at an initial …
AM Smak Gregoor, TE Sangers, LJ Bakker… - NPJ digital …, 2023 - nature.com
Artificial intelligence (AI) based algorithms for classification of suspicious skin lesions have been implemented in mobile phone apps (mHealth), but their effect on healthcare systems is …
OT Jones, CKI Ranmuthu, PN Hall, G Funston… - Advances in …, 2020 - Springer
Skin cancer, including melanoma, basal cell carcinoma and cutaneous squamous cell carcinoma, has one of the highest global incidences of any form of cancer. In 2016 more …
RV Zicari, S Ahmed, J Amann, SA Braun… - Frontiers in Human …, 2021 - frontiersin.org
This paper documents how an ethically aligned co-design methodology ensures trustworthiness in the early design phase of an artificial intelligence (AI) system component …
M Matsumoto, S Wack, MA Weinstock, A Geller… - JAMA …, 2022 - jamanetwork.com
Importance Population-based skin cancer screening is currently not recommended owing to lack of data to quantify the balance of benefits and harms. Objective To compare thickness …
DM Ackermann, M Dieng, E Medcalf… - JAMA …, 2022 - jamanetwork.com
Importance Patient-led surveillance is a promising new model of follow-up care following excision of localized melanoma. Objective To determine whether patient-led surveillance in …
The increased demand for physiologically relevant in vitro human skin models for testing pharmaceutical drugs has led to significant advancements in skin engineering. One of the …
L Kostner, SE Cerminara, GSP Pamplona, JT Maul… - Cancers, 2022 - mdpi.com
Simple Summary Concerns about potential diagnostic delays due to pandemic-related disruptions were expressed early during the COVID-19 outbreak. In the present study, we …