The state of melanoma: emergent challenges and opportunities
MB Atkins, C Curiel-Lewandrowski, DE Fisher… - Clinical Cancer …, 2021 - AACR
Five years ago, the Melanoma Research Foundation (MRF) conducted an assessment of the
challenges and opportunities facing the melanoma research community and patients with …
challenges and opportunities facing the melanoma research community and patients with …
Analysis of artificial intelligence-based approaches applied to non-invasive imaging for early detection of melanoma: a systematic review
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 …
detection of melanoma is crucial for better outcomes, but this often can be challenging. This …
[Retracted] A Novel Hybrid Deep Learning Approach for Skin Lesion Segmentation and Classification
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 …
observation and further with the help of dermoscopic analysis and other tests. As at an initial …
An artificial intelligence based app for skin cancer detection evaluated in a population based setting
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 …
been implemented in mobile phone apps (mHealth), but their effect on healthcare systems is …
Recognising skin cancer in primary care
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 …
carcinoma, has one of the highest global incidences of any form of cancer. In 2016 more …
Co-design of a trustworthy AI system in healthcare: deep learning based skin lesion classifier
This paper documents how an ethically aligned co-design methodology ensures
trustworthiness in the early design phase of an artificial intelligence (AI) system component …
trustworthiness in the early design phase of an artificial intelligence (AI) system component …
Five-year outcomes of a melanoma screening initiative in a large health care system
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 …
lack of data to quantify the balance of benefits and harms. Objective To compare thickness …
Assessing the potential for patient-led surveillance after treatment of localized melanoma (MEL-SELF): a pilot randomized clinical trial
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 …
excision of localized melanoma. Objective To determine whether patient-led surveillance in …
Skin-on-a-chip technology: microengineering physiologically relevant in vitro skin models
P Zoio, A Oliva - Pharmaceutics, 2022 - mdpi.com
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 …
pharmaceutical drugs has led to significant advancements in skin engineering. One of the …
Effects of COVID-19 lockdown on melanoma diagnosis in Switzerland: increased tumor thickness in elderly females and shift towards stage IV melanoma during …
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 …
disruptions were expressed early during the COVID-19 outbreak. In the present study, we …