In recent years, policy makers worldwide have begun to acknowledge the potential value of
insights from psychology and behavioral economics into how people make decisions. These …

We review the literature to identify common problems of decision-making in individuals and
groups. We are guided by a Bayesian framework to explain the interplay between past …

Collective insights from a group of experts have always proven to outperform an individual's
best diagnostic for clinical tasks. For the task of medical image segmentation, existing …

Background In recent studies, convolutional neural networks (CNNs) outperformed
dermatologists in distinguishing dermoscopic images of melanoma and nevi. In these …

Collective intelligence refers to the ability of groups to outperform individual decision makers
when solving complex cognitive problems. Despite its potential to revolutionize decision …

Research in the field of medicine and relevant studies evince that melanoma is one of the
deadliest cancers. It defines precisely that the condition develops due to uncontrolled growth …

Importance The traditional approach of diagnosis by individual physicians has a high rate of
misdiagnosis. Pooling multiple physicians' diagnoses (collective intelligence) is a promising …

Importance The comparative diagnostic performance of dermoscopic algorithms and their
individual criteria are not well studied. Objectives To analyze the discriminatory power and …

Post-traumatic stress disorder (PTSD) impacts many veterans and active duty soldiers, but
diagnosis can be problematic due to biases in self-disclosure of symptoms, stigma within …

Background Early detection of melanoma can be lifesaving but this remains a challenge.
Recent diagnostic studies have revealed the superiority of artificial intelligence (AI) in …