AIMC Topic: Reproducibility of Results
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Deep learning for automated dental plaque index assessment: validation against expert evaluations.
BMC oral health
Jul 2, 2025
BACKGROUND: The integration of artificial intelligence (AI) into healthcare has led to promising advancements in clinical decision-making and diagnostic accuracy. In dentistry, automated methods to evaluate oral hygiene measures, such as dental plaqu...
Methodological conduct and risk of bias in studies on prenatal birthweight prediction models using machine learning techniques: a systematic review.
BMC pregnancy and childbirth
Jul 2, 2025
OBJECTIVE: To assess the methodological quality and the risk of bias, of studies that developed prediction models using Machine Learning (ML) techniques to estimate prenatal birthweight.
Ensemble methods and partially-supervised learning for accurate and robust automatic murine organ segmentation.
Scientific reports
Jul 2, 2025
Delineation of multiple organs in murine µCT images is crucial for preclinical studies but requires manual volumetric segmentation, a tedious and time-consuming process prone to inter-observer variability. Automatic deep learning-based segmentation c...
The General Attitudes towards Artificial Intelligence Scale (GAAIS): validation and psychometric properties analysis in the Italian context.
BMC psychology
Jul 1, 2025
This two-study investigation aimed to assess the psychometric properties of the Italian version of the General Attitudes towards Artificial Intelligence Scale (GAAIS). In study 1 (N = 236 adults) confirmatory factor analysis (CFA) was conducted to ex...
Eff-ReLU-Net: a deep learning framework for multiclass wound classification.
BMC medical imaging
Jul 1, 2025
Chronic wounds have emerged as a significant medical challenge due to their adverse effects, including infections leading to amputations. Over the past few years, the prevalence of chronic wounds has grown, thus posing significant health hazards. It ...
Beyond accuracy: a framework for evaluating algorithmic bias and performance, applied to automated sleep scoring.
Scientific reports
Jul 1, 2025
Recent advancements in artificial intelligence (AI) have significantly improved sleep-scoring algorithms, bringing their performance close to the theoretical limit of approximately 80%, which aligns with inter-scorer agreement levels. While this sugg...
AI-based CT assessment of 3117 vertebrae reveals significant sex-specific vertebral height differences.
Scientific reports
Jul 1, 2025
Predicting vertebral height is complex due to individual factors. AI-based medical imaging analysis offers new opportunities for vertebral assessment. Thereby, these novel methods may contribute to sex-adapted nomograms and vertebral height predictio...
Mitigating data bias and ensuring reliable evaluation of AI models with shortcut hull learning.
Nature communications
Jul 1, 2025
Shortcut learning poses a significant challenge to both the interpretability and robustness of artificial intelligence, arising from dataset biases that lead models to exploit unintended correlations, or shortcuts, which undermine performance evaluat...
Deep-learning-based automated prediction of mouse seminiferous tubule stage by using bright-field microscopy.
Scientific reports
Jul 1, 2025
Infertility is a global issue, and approximately 50% of cases are due to male factors, with defective spermatogenesis being the main one. For studies of spermatogenesis, evaluating the seminiferous tubule stage is essential. However, current evaluati...
Abstraction hierarchy to define biofoundry workflows and operations for interoperable synthetic biology research and applications.
Nature communications
Jul 1, 2025
Lack of standardization in biofoundries limits the scalability and efficiency of synthetic biology research. Here, we propose an abstraction hierarchy that organizes biofoundry activities into four interoperable levels: Project, Service/Capability, W...
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