AIMC Topic: United States

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Artificial intelligence vs human clinicians: a comparative analysis of complex medical query handling across the USA and Australia.

Journal of health organization and management
PURPOSE: This study sought to explore the practical application and effectiveness of AI-generated responses in healthcare and compared these with human clinician responses to complex medical queries in the USA and Australia. The study identifies stre...

Evaluating Authorship Guidelines of Top Medical Schools and Plastic Surgery Journals: A Comparative Analysis.

Annals of plastic surgery
BACKGROUND: Authorship in research is crucial for academic recognition and accountability; however, there remain discrepancies throughout institutions regarding authorship inclusion. This review aimed to evaluate the similarities, variations and dist...

Clinical Utility of Pulmonary Function Testing in Assessing Longitudinal Outcomes of Deployed Veterans with Preserved Spirometry.

Annals of the American Thoracic Society
Deployment to the Southwest Asia theater of military operations is associated with new-onset respiratory symptoms, yet commonly used parameters on pulmonary function testing (PFT) are typically reported to be within the normal range for most deploye...

Machine Learning With Ingredient-Level Food Trees Reveals Contributors to Systemic Inflammation Among Adults in the National Health and Nutrition Examination Survey, 2001-2010 and 2015-2018.

Journal of the Academy of Nutrition and Dietetics
BACKGROUND: Methods for modeling the relationship between self-reported 24-hour dietary recalls and health outcomes are traditionally based on nutrients and/or dietary patterns. Machine learning (ML), combined with hierarchical representations of die...

The Forcing Factors of Physical Inactivity and Obesity in the United States - An Artificial Intelligence Analysis of an Ecological Framework.

The American journal of medicine
BACKGROUND: A sedentary lifestyle and obesity are primary factors forcing the ongoing chronic disease health crisis in the United States. The aim of the current study is to assess whether an ecological framework can predict United States physical ina...

Can American Board of Surgery in Training Examinations be passed by Large Language Models? Comparative assessment of Gemini, Copilot, and ChatGPT.

The American surgeon
ObjectiveThis study aimed to evaluate the performance of large language models (LLMs) in answering questions from the American Board of Surgery In-Training Examination (ABSITE).MethodsMultiple choice ABSITE Quiz was entered into the most popular LLMs...

Optimizing Antiviral Stockpiles for Pandemic Response: A Strategic Framework.

The Journal of infectious diseases
Influenza antiviral stockpiling represents a critical component of pandemic preparedness, yet evolving challenges demand new approaches to this strategic imperative. The Strategic National Stockpile's target of maintaining antiviral courses for 25% o...

Framework to Select Multi-Cancer Detection Assays in the National Cancer Institute's Vanguard Study.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
BACKGROUND: The Cancer Screening Research Network is a new clinical trials network funded by the NCI. The first Cancer Screening Research Network study, the Vanguard Study (VS), will assess the feasibility of using multi-cancer detection (MCD) tests ...

Functional Consequences of Tinnitus in Military Service Members.

American journal of audiology
PURPOSE: Numerous individuals in the United States are bothered enough by tinnitus that it affects normal daily activities, including sleep and concentration. There is a high prevalence of self-reported bothersome tinnitus in the U.S. military, and t...

Nursing Academic Reviewers' Perspectives on AI-Assisted Peer Review: Ethical Challenges and Acceptance.

International nursing review
AIM: This study aimed to explore the perceptions, experiences, and ethical considerations of nursing academic reviewers regarding the integration of artificial intelligence (AI) into the peer review process, with a focus on acceptance dynamics and im...