AIMC Topic: Reproducibility of Results

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Evaluating AI-generated examination papers in periodontology: a comparative study with human-designed counterparts.

BMC medical education
OBJECTIVE: This study systematically evaluates the performance of artificial intelligence (AI)-generated examinations in periodontology education, comparing their quality, student outcomes, and practical applications with those of human-designed exam...

Development and validation of an improved volumetric breast density estimation model using the ResNet technique.

Biomedical physics & engineering express
. Temporal changes in volumetric breast density (VBD) may serve as prognostic biomarkers for predicting the risk of future breast cancer development. However, accurately measuring VBD from archived x-ray mammograms remains challenging. In a previous ...

Assessing ChatGPT's suitability in responding to the public's inquires on the effects of smoking on oral health.

BMC oral health
BACKGROUND: With the growing use of Artificial Intelligence (AI) in healthcare, language models like ChatGPT are increasingly being used to provide health information. Given smoking's significant impact on oral health, including periodontal disease, ...

AI-Driven segmentation and morphogeometric profiling of epicardial adipose tissue in type 2 diabetes.

Cardiovascular diabetology
BACKGROUND: Epicardial adipose tissue (EAT) is associated with cardiometabolic risk in type 2 diabetes (T2D), but its spatial distribution and structural alterations remain understudied. We aim to develop a shape-aware, AI-based method for automated ...

Video-based pupillometry using Fourier Mellin image correlation.

Scientific reports
We introduce a novel method for evaluating the pupil light reflex (PLR) response using digital video recordings. Expensive, specialized devices are replacing traditional penlight tests in emergency and neurotrauma departments, but they are not widely...

Comparative evaluation of ChatGPT and LLaMA for reliability, quality, and accuracy in familial Mediterranean fever.

European journal of pediatrics
UNLABELLED: Familial Mediterranean fever (FMF) is the most common monogenic autoinflammatory disease. Large language models (LLMs) offer rapid access to medical information. This study evaluated and compared the reliability, quality, and accuracy of ...

An AI-assisted tool for automated growth monitoring in pediatric achondroplasia.

European journal of pediatrics
UNLABELLED: Growth assessment in achondroplasia requires disorder-specific growth charts incorporating sex- and age-specific values. Manual calculations are tedious and subject to error. We present an artificial intelligence (AI)-assisted tool that a...

Nancy histological index in ulcerative colitis: an interobserver study.

Journal of clinical pathology
The Nancy histological index (NHI) is a measure of disease activity within colorectal biopsies and a predictor of clinical outcome in ulcerative colitis (UC). We measured interobserver agreement (IOA) during NHI scoring of 20 colorectal biopsies in U...

2HR-Net VSLAM: Robust visual SLAM based on dual high-reliability feature matching in dynamic environments.

PloS one
Visual Simultaneous Localization and Mapping (VSLAM) is the key technology for autonomous navigation of mobile robots. However, feature-based VSLAM systems still face two major challenges in dynamic complex environments: insufficient feature reliabil...