Patient acceptance and trust in automated computer-assisted diagnosis of melanoma with dermatofluoroscopy

Computer-assisted diagnosis for skin cancer: have we been outsmarted?

(2017) Victoria J Mar et al.   LANCET

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Second opinion in medical encounters − A study among breast cancer patients

(2017) Sophie E. Groß et al.   PATIENT EDUCATION AND COUNSELING

To delegate or not to delegate: A review of control frameworks for autonomous cars

(2016) Dale Richards et al.   APPLIED ERGONOMICS

Non-invasive tools for the diagnosis of cutaneous melanoma

(2016) C. Fink et al.   SKIN RESEARCH AND TECHNOLOGY

Study protocol for a prospective, non-controlled, multicentre clinical study to evaluate the diagnostic accuracy of a stepwise two-photon excited melanin fluorescence in pigmented lesions suspicious for melanoma (FLIMMA study)

(2016) Christine Fink et al.   BMJ Open

En route to a new in vivo diagnostic of malignant pigmented melanoma

(2012) Matthias Scholz et al.   Pigment Cell & Melanoma Research

Patient acceptance and diagnostic utility of automated digital image analysis of pigmented skin lesions

(2011) J. Frühauf et al.   JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY

The stepwise two-photon excited melanin fluorescence is a unique diagnostic tool for the detection of malignant transformation in melanocytes

(2011) Dieter Leupold et al.   Pigment Cell & Melanoma Research

Validation of a trust in medical technology instrument

(2010) Enid Montague   APPLIED ERGONOMICS