New blood tests promise to detect malignancies before they’ve spread. But proving that these tests actually improve outcomes ...

Many organizations implementing AI agents tend to focus too narrowly on a single decision-making model, falling into the trap of assuming a one-size-fits-all decision-making framework, one that ...

Data-informed decision-making, particularly when augmented by AI, offers tremendous potential for educational leadership. Leaders must approach these tools with a critical eye, ensuring that data is ...

Abstract: A general theory of signal detectability, constructed after the model provided by decision theory, is applied to the performance ... and comparisons of the response-frequency tables ...

23-07 (594)_Military Decision-Making Process (Nov 23) (Public) The military decision-making process (MDMP) is not a boogey man to be feared, but a process to be embraced and mastered by all staffs ...

Table 1. The pay-off matrix of signal detection theory (SDT) applied to admission decisions ... However, this is also a general issue in evidence-informed decision and policy making, not specific for ...

Most organizations have invested heavily in using data to enhance the quality of their decision-making process. Data-driven decision-making (DDDM) is the process of using data or facts to inform ...

A new theory of economic decision-making offers an explanation as to why humans, in general, make decisions that are simply adequate, not optimal. A new theory of economic decision-making from ...

Using signal detection theory, Kessler Foundation researchers furthered their understanding of the mechanisms of cognitive fatigue in a recent neuroimaging study comparing participants with ...

East Hanover, NJ. May 31, 2022. Using signal detection theory, Kessler Foundation researchers furthered their understanding of the mechanisms of cognitive fatigue in a recent neuroimaging study ...