Publications by authors named "Lauren Haley"

Background And Objectives: The most common thoracolumbar trauma classification systems are the Thoracolumbar Injury Classification and Severity Score (TLICS) and the Thoracolumbar AO Spine Injury Score (TL AOSIS). Predictive accuracy of treatment recommendations is a historical limitation. Our objective was to validate and compare TLICS, TL AOSIS, and a modified TLICS (mTLICS) that awards 2 points for the presence of fractured vertebral body height loss >50% and/or spinal canal stenosis >50% at the fracture site.

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Introduction: Artificial intelligence (AI) may benefit pediatric healthcare, but it also raises ethical and pragmatic questions. Parental support is important for the advancement of AI in pediatric medicine. However, there is little literature describing parental attitudes toward AI in pediatric healthcare, and existing studies do not represent parents of hospitalized children well.

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Introduction: The use of artificial intelligence (AI), particularly machine learning and predictive analytics, has shown great promise in health care. Despite its strong potential, there has been limited use in health care settings. In this systematic review, we aim to determine the main barriers to successful implementation of AI in healthcare and discuss potential ways to overcome these challenges.

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Article Synopsis
  • The study investigates how spinopelvic parameters and global spine morphology affect fracture location, fracture type, and neurological outcomes in patients with thoracolumbar trauma.
  • After reviewing 2,896 patients, 514 were selected based on specific criteria; data such as age, injury mechanism, and body type were collected, differentiating between high pelvic incidence (PI) and low PI patients.
  • Results revealed that high PI patients had fewer lower lumbar spine fractures than low PI patients, with fall from height being a major cause of neurological deficits, especially among those with certain types of injuries.
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Traumatic brain injuries (TBIs) are a significant health problem, impacting millions of people every year. Although emerging evidence suggests that the composition of the gut microbiome is altered after TBI, no systematic review has been published on this topic. The objective of the present systematic review is to analyze publications that evaluate the impact of TBI on gut microbiome composition.

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Background African American patients with uncontrolled diabetes living in medically underserved areas need effective clinic-based interventions to improve self-care behaviors. Text messaging (TM) and health coaching (HC) are among the most promising low-cost population-based approaches, but little is known about their comparative effectiveness in real-world clinical settings. Objective Use a pragmatic randomized controlled trial design to determine the comparative effectiveness of TM and HC with enhanced usual care (EC) in African American adults with uncontrolled diabetes and multiple chronic health conditions.

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Research on the perception of faces has focused on the size, shape, and configuration of inherited features or the biological phenotype, and largely ignored the effects of adornment, or the extended phenotype. Research on the evolution of signaling has shown that animals frequently alter visual features, including color cues, to attract, intimidate or protect themselves from conspecifics. Humans engage in conscious manipulation of visual signals using cultural tools in real time rather than genetic changes over evolutionary time.

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