The field of digital therapeutics represents a gateway towards using artificial intelligence to
optimize software-based interventions. In article 1900023, Dean Ho, Christopher L. Asplund …

Conventional therapeutic interventions, which range from drug treatment to learning and
training regimens, are often given at a fixed dose/intensity. This often leads to sub‐optimal …

In the realm of psychological and brain sciences, there is a growing urgency to refine
individual performance using personalized interventions that account for unique cognitive …

Cognitive impairments are a prevalent consequence of acquired brain injury, dementia, and
age-related cognitive decline, hampering individuals' daily functioning and independence …

Conventional training often uses fixed-intensity programs which can lead to plateaus in
learning trajectories and sub-optimal outcomes. Hence, individualized programs are …

The profession of nursing has positioned significant elements of its tradition, values, and
theory of knowledge on the need to provide interpersonal human care. As a core element of …

The increasing prevalence of cognitive disorders, such as Alzheimer′ s disease, imposes
significant challenges on healthcare systems and society. The ability to predict the future …

The focus of our work is on diagnostic tasks in personalized learning, such as cognitive
diagnosis and knowledge tracing. The goal of these tasks is to assess students' latent …

Background The implementation of artificial intelligence (AI) in mental healthcare offers a
potential solution to some of the problems associated with the availability, attractiveness …

Mental health is at a critical impasse. The first big data wave occurred over a decade ago,
fueled by the reduced cost of-omics techniques (eg, genomics, transcriptomics), increased …