Publications by authors named "S Patrick Whalen"

Background: Recent studies, including those by the National Board of Medical Examiners, have highlighted the remarkable capabilities of recent large language models (LLMs) such as ChatGPT in passing the United States Medical Licensing Examination (USMLE). However, there is a gap in detailed analysis of LLM performance in specific medical content areas, thus limiting an assessment of their potential utility in medical education.

Objective: This study aimed to assess and compare the accuracy of successive ChatGPT versions (GPT-3.

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  • * A retrospective review was performed on patients who underwent urodynamic studies from 2012 to 2023, dividing them into those with DU and a control group with normal voiding parameters while excluding certain patients with obstructive conditions or recent treatments.
  • * Findings revealed that DU is more prevalent in patients with specific risk factors like spinal diseases and a history of surgeries in females, and that both males and females primarily experience voiding symptoms, with a significant number also reporting
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Introduction: Partnering for Change (P4C) is an innovative practice model for school-based occupational therapy developed in Canada and informed by a program of research spanning nearly two decades. National and international interest in P4C necessitated development of an explanatory theory to guide implementation in varied contexts. The purpose of this study is to document the process of theory development and to provide an overview of the initial P4C explanatory theory.

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Background: Recent studies, including those by the National Board of Medical Examiners (NBME), have highlighted the remarkable capabilities of recent large language models (LLMs) such as ChatGPT in passing the United States Medical Licensing Examination (USMLE). However, there is a gap in detailed analysis of these models' performance in specific medical content areas, thus limiting an assessment of their potential utility for medical education.

Objective: To assess and compare the accuracy of successive ChatGPT versions (GPT-3.

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Article Synopsis
  • GTPases from the Rab family play a crucial role in membrane trafficking, and issues with these proteins have been linked to various neurological disorders, particularly involving RAB11A variants causing developmental and epileptic encephalopathy.
  • The study examined 16 patients with RAB11A variants, mostly de novo heterozygous missense mutations, finding that these variants are associated with intellectual disability, developmental delays, and a range of other physical and neurological symptoms.
  • The research suggests that while epilepsy is less common and less severe in patients with binding site mutations, the RAB11A neurodevelopmental disorder can affect multiple body systems, including gait, muscle tone, brain structure, and even fat distribution.
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