Overconfidence is an important bias related to the ability to recognize the limits of one's knowledge. The present study examines overconfidence in predictions of job performance for participants presented with information ...

BACKGROUND: Little is known about the impact of interventions to support shared decision making (SDM) with pediatric patients. OBJECTIVES: To summarize the efficacy of SDM interventions in pediatrics on patient-centered ...

An intelligent system that emulates human decision behaviour based on visual data acquisition is proposed. The approach is useful in applications where images are used to supply information to specialists who will choose ...

Background: Human T-cell Lymphotropic Virus type 1 (HTLV-1) infection is a neglected public health problem. The majority of carriers is asymptomatic and may have a low risk of developing related diseases. The aims of ...

In this article, we discuss, from a complex systems perspective, possible implications of the rising dependency between autonomous human social/individual action, ubiquitous computing, and artificial intelligent systems. ...

PURPOSE: To explore perceptions and experiences of Peruvian medical students about observed, preferred, and feasible decision-making approaches. METHODS: We surveyed senior medical students from 19 teaching hospitals in 4 ...