Unlocking Potential in Clinical Practice: A Comprehensive Assessment of an Artificial Intelligence Based Clinical Decision Support System for Cutaneous Melanoma Detection
P. Papachristou,
M. Söderholm,
J. Pallon,
M. Taloyan,
S. Polesie,
J. Paoli,
C.D. Anderson,
M. Falk
Affiliations
P. Papachristou
Karolinska Institutet, Department of Neurobiology, Care Sciences and Society, Stockholm, Sweden
M. Söderholm
Linköping University, Department of Health, Medicine and Caring Sciences, Linköping, Sweden
J. Pallon
Lund University, Department of Clinical Sciences in Malmö, Malmö, Sweden
M. Taloyan
Karolinska Institutet, Department of Neurobiology, Care Sciences and Society, Stockholm, Sweden
S. Polesie
University of Gothenburg, Department of Dermatology and Venereology, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg, Sweden
J. Paoli
University of Gothenburg, Department of Dermatology and Venereology, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg, Sweden
C.D. Anderson
Linköping University, Department of Biomedical and Clinical Sciences, Linköping, Sweden
M. Falk
Linköping University, Department of Health, Medicine and Caring Sciences, Linköping, Sweden
