AI Medical Compendium

Mixed order single variable intuitionistic fuzzy time series forecasting method based on a new artificial neural network and grey wolf optimization algorithm.

Scientific reports Apr 2, 2026

Pareto-optimized stacked ensemble machine learning framework for predicting bearing capacity of driven piles from static load test data.

Scientific reports Apr 2, 2026

Since traditional empirical methods frequently fail to capture complex soil-pile interactions, accurately evaluating the bearing capacity of driven piles remains a critical yet difficult task in geotechnical engineering. In this regard, this study pr... read more

Comparative performance of recent and prior large language models and pediatric residents on pediatric in-training examination questions.

Scientific reports Apr 2, 2026

Emotion-driven front-end design of NEVs using an improved LSTM with LDA-based emotion mining.

Scientific reports Apr 2, 2026

Due to the inherent subjectivity of Kansei perception, aligning the front-end styling of new energy vehicles (NEVs) with users' emotional preferences remains a complex challenge. This study proposes a data-driven framework integrating semantic mining... read more

Unraveling volcanic impacts in semi-arid climates: machine learning and CMIP6 insights from Krakatau and Santa Maria.

Scientific reports Apr 2, 2026

Multimodal AI model for early detection of hepatocellular carcinoma.

NPJ precision oncology Apr 2, 2026

Detection of early hepatocellular carcinoma (eHCC) is important for timely treatment and improved prognosis. However, it is challenging to distinguish eHCC from pre-malignant high-grade dysplastic nodules (HGDN). Here we developed an artificial intel... read more

Enhancing financial stability in healthcare through data-driven risk assessments with machine learning.

Scientific reports Apr 2, 2026

Efficient deep learning framework for arecanut disease detection using graph neural network and Bat algorithm.

Scientific reports Apr 2, 2026

Impact of accurate load forecasting on electricity market stability in Japan using classical time-series and deep-learning methods.

Scientific reports Apr 2, 2026

Automated Detection and Classification of Pleural Effusion on Computed Tomography Using Deep Learning.

Journal of imaging informatics in medicine Apr 2, 2026

The aim of this study is to develop and evaluate the performance of a two-stage deep learning-based artificial intelligence framework for the automatic segmentation and etiological classification of pleural effusion from noncontrast thoracic computed... read more

Artificial Intelligence Medical Compendium

Mixed order single variable intuitionistic fuzzy time series forecasting method based on a new artificial neural network and grey wolf optimization algorithm.

Pareto-optimized stacked ensemble machine learning framework for predicting bearing capacity of driven piles from static load test data.

Comparative performance of recent and prior large language models and pediatric residents on pediatric in-training examination questions.

Emotion-driven front-end design of NEVs using an improved LSTM with LDA-based emotion mining.

Unraveling volcanic impacts in semi-arid climates: machine learning and CMIP6 insights from Krakatau and Santa Maria.

Multimodal AI model for early detection of hepatocellular carcinoma.

Enhancing financial stability in healthcare through data-driven risk assessments with machine learning.

Efficient deep learning framework for arecanut disease detection using graph neural network and Bat algorithm.

Impact of accurate load forecasting on electricity market stability in Japan using classical time-series and deep-learning methods.

Automated Detection and Classification of Pleural Effusion on Computed Tomography Using Deep Learning.

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