Background: Assessing neuropsychiatric symptoms (NPS) in older adults is important for
determining dementia risk. Mild behavioral impairment (MBI) is an at-risk state for cognitive …

Background: Machine learning (ML) is a promising technique for patient-specific prediction
of mild cognitive impairment (MCI) and dementia development. Neuropsychiatric symptoms (…

To identify knowledge gaps regarding new‐onset agitation and impulsivity prior to onset of
cognitive impairment or dementia the International Society to Advance Alzheimer's Research …

Background: Mild behavioral impairment (MBI) and subjective cognitive decline (SCD) are
dementia risk states, and potentially represent neurobehavioral and neurocognitive …

Objective To compare the utility of the Mild Behavioral Impairment-Checklist (MBI-C) and
Neuropsychiatric Inventory Questionnaire (NPI-Q) to capture NPS in subjective cognitive …

Background: Artificial intelligence (AI) is no longer a futuristic concept; it is increasingly being
integrated into health care. As studies on attitudes toward AI have primarily focused on …

Background Systemic sclerosis is a heterogenous disease in which little is known about
patterns of patient-reported symptom clusters. We aimed to identify classes of individuals with …

Background: Nonpharmaceutical interventions (NPIs) are the primary tools to mitigate early
spread of the coronavirus disease 2019 (COVID-19) pandemic; however, such policies are …

Objective Some individuals with systemic sclerosis (SSc) report positive mental health,
despite severe disease manifestations, which may be associated with resilience, but no …

Objective Loneliness has been associated with poorer health‐related quality of life but has
not been studied in patients with systemic sclerosis (SSc). The current study was undertaken …