Artificial intelligence-produced radiographic enhancements in dental clinical care: provider and patient perspectives.

Introduction: Artificial intelligence (AI)-based software can be used with dental radiographs to facilitate dental providers' diagnoses and to educate patients about their oral health conditions. The goal of this study was to survey dental providers and patients about the use of AI-enhanced radiographs in the diagnostic and patient education processes.

Methods: Within their Community Collaborative Practice model, Apple Tree Dental in Minnesota implemented the use of an AI software platform that annotates carious lesions and periodontal measurements on dental radiographs.

National Trends in Stroke Presentation, Treatments, and Outcomes During the First 2 Years of the COVID-19 Pandemic.

Background And Objectives: Early presentation and acute treatment for patients presenting with ischemic stroke are associated with improved outcomes. The onset of the COVID-19 pandemic was associated with a large decrease in patients presenting with ischemic stroke, but it is unknown whether these changes persisted.

Methods: This study analyzed emergency department (ED) stroke presentations (n = 158,060) to all nonfederal hospitals in the 50 states and Washington, D.

Methods for modeling gestational weight gain: empirical application using electronic health record data from a safety net population.

Background: Understanding the risks and effects of gestational weight gain (GWG) is a prominent area of perinatal research but approaches for quantifying GWG are evolving and remain underdeveloped, especially in clinical settings for underserved demographic subgroups. To fill this gap, we demonstrated and compared six GWG metrics across pre-pregnancy BMI classifications: total GWG, trimester-specific linear rate of GWG, adherence to total and trimester-specific recommendations, area under the curve, and GWG for gestational age z-scores.

Methods: We used clinical data on 44,801 pregnant people from community-based health care organizations with extensive longitudinal measures and substantial representation of understudied subgroups.

Clinical and demographic factors modify the association between plasma phosphorylated tau-181 and cognition.

Introduction: Plasma phosphorylated tau-181 (p-tau181) associations with global cognition and memory are clear, but the link between p-tau181 with other cognitive domains and subjective cognitive decline (SCD) across the clinical spectrum of Alzheimer's disease (AD) and how this association changes based on genetic and demographic factors is poorly understood.

Methods: Participants were drawn from the Alzheimer's Disease Neuroimaging Initiative (ADNI) and included 1185 adults >55 years of age with plasma p-tau181 and neuropsychological test data. Linear regression models related plasma p-tau181 to neuropsychological composite and SCD scores with follow-up models examining plasma p-tau181 interactions with cognitive diagnosis, apolipoprotein E ε4 carrier status, age, and sex on cognitive outcomes.

Social determinants of health linked with oral health in a representative sample of U.S. adults.

Background: Oral diseases remain a significant public health problem worldwide, with growing gaps in oral health status among various socioeconomic groups. The objective of the current study is to analyze the impact of different social determinants of health (SDOH) on oral health outcomes (frequency of dental visits, self-reported oral health status, embarrassment because of oral health status, and tooth loss) among a representative sample of United States (U.S.