Clinicians must make diagnostic treatment decisions using a large body of probabilistic information and process this information under the pressure of time and workload. The pressure of this task is ...

When it comes to decision making, heuristics—mental shortcuts that can simplify decision making—often attract derision as ineffective because they are subjective or non-data-driven. However, I believe ...

A lot of scientific and popular decision-making literature is couched in a dual-process model [1]. The dual-process model pits the relatively automatic, heuristic-driven, and unconscious System 1 ...

To better understand decision-making, researchers can create computational models—groups of equations that aim to predict what decisions people would make when faced with a set of choices. For example ...

Being a physician is a difficult job. They must make complex, high-stakes decisions under severe pressure, with limited information about the patient, the disease and the treatment, while juggling ...