AIMC Topic: Reproducibility of Results

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Large language model as a clinical decision support tool in the initial management of critically ill children: a pilot evaluation.

European journal of pediatrics
UNLABELLED: Large language models (LLMs) like ChatGPT are being explored as clinical decision support tools, but their reliability in pediatric acute care remains uncertain. This pilot study assessed ChatGPT-4.0's performance in the early management ...

Impact of image preprocessing methods on MRI radiomics feature variability and classification performance in Parkinson's disease motor subtype analysis.

Scientific reports
To evaluate the impact of various magnetic resonance imaging (MRI) preprocessing methods on radiomic feature reproducibility and classification performance in differentiating Parkinson's disease (PD) motor subtypes. We analyzed 210 T1-weighted MRI sc...

Trustworthy pneumonia detection in chest X-ray imaging through attention-guided deep learning.

Scientific reports
Pneumonia remains a significant global health threat, especially among children, the elderly, and immunocompromised individuals. Chest X-ray (CXR) imaging is commonly used for diagnosis, but manual interpretation is prone to errors and variability. T...

Quantitative Assessment of Strabismus Using Cloud AI Computing: Validation Study.

JMIR formative research
BACKGROUND: Strabismus measurement is essential in vision assessment and screening. It typically requires skilled clinicians or specialized equipment. Photographic strabismus measurement methods have value in terms of accessibility and convenience of...

Enhanced stratification of male pattern hair loss using AI through novel loss region ratio analysis.

Scientific reports
Male pattern hair loss (MPHL) is a common dermatological condition with significant psychological and clinical impacts. Traditional grading systems, such as the Norwood-Hamilton and Basic and Specific (BASP) classifications, rely on subjective assess...

Performance of the Large Language Models on the Chinese National Nurse Licensure Examination: Cross-Sectional Evaluation Study.

JMIR medical informatics
BACKGROUND: Large language models (LLMs) are increasingly explored in nursing education, but their capabilities in specialized, high-stakes, culturally specific examinations, such as the Chinese National Nurse Licensure Examination (CNNLE), remain un...

Quality Analysis of Stroke-Related Videos on Video Platforms: Cross-Sectional Study.

JMIR formative research
BACKGROUND: Stroke has become a global public health problem due to its high incidence, disability, and mortality. In China, TikTok and Bilibili, as mainstream video-sharing platforms, serve as key sources of getting stroke-related information for pe...

Utility and Limitations of Large Language Models to Simplify Online Content on Generalized Pustular Psoriasis.

Rhode Island medical journal (2013)
Online health information (OHI) in dermatology often exceeds the recommended sixth-grade reading level, hindering patient comprehension. This study aimed to assess the utility of three artificial intelligence large language models (LLMs) - ChatGPT-3....

Reliable evaluation for the AI-enabled intrusion detection system from data perspective.

PloS one
As the primary link in cybersecurity, the intrusion detection system (IDS) is of indispensable importance. Many studies have proposed sophisticated artificial intelligence (AI) models to detect intrusion behavior from a large amount of data, yet they...