Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 181 to 190 of 199,772 articles

Reliability assessment of key equipment for coal gasification using artificial intelligence technology.

PloS one
To address the gap in quantitatively modeling dynamic failure mechanisms for Gasifier lock bucket valve system reliability, this study proposes an innovative method: using backpropagation (BP) neural network to optimize the prior data of dynamic Baye... read more 

Research on anomaly detection and operational status evaluation methods for smart electricity meters based on hybrid deep learning.

PloS one
To address the limitations of single-image feature information and the insufficient recognition capability of traditional power quality disturbance (PQD) identification systems, this paper proposes a PQD recognition method based on feature-image comb... read more 

DG-LSTM-SA model: A deep gated LSTM network with self-attention mechanism for power generation and load forecasting.

PloS one
Accurate forecasting of power generation and load demand is essential for the reliable operation of modern energy systems. Traditional recurrent neural networks (RNNs) often struggle to capture long-term dependencies in complex power time series, whe... read more 

Amphiphilic Hollow Microgels at the Liquid-Liquid Interface: Studying Soft Colloids' Shape and Interior via Computer Simulations and Machine Learning.

Langmuir : the ACS journal of surfaces and colloids
Single amphiphilic network-like polymer particles with random distribution of hydrophilic (A) and hydrophobic (B) segments in the polymer network and internal cavity were studied at an oil-water interface by means of mesoscopic computer simulations. ... read more 

Happiness and hypertension prevalence: A global analysis.

PLOS global public health
The prevalence of hypertension around the world is high while hypertension control is relatively low. The objective of this study is to investigate the association between happiness and hypertension prevalence across countries. We used World Happines... read more 

Will the widespread use of large language models in scientific writing undermine scientists' critical thinking?

PLoS biology
Artificial intelligence (AI) is rapidly transforming scientific writing by expanding access and efficiency, yet it risks decoupling writing from thinking. Scientific writing is a core cognitive and epistemic practice that must be cultivated and prese... read more 

A Deep Learning-Based Multimodal Nomogram for HLHS Risk Assessment: Practical Considerations.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
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A Deep Learning Perspective on Preoperative Ultrasound and Intraoperative Discordance in Transcervical Fibroid Ablation.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
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Biomarker-driven and AI-assisted nanomedicine for breast cancer: advancing precision drug delivery from bench to bedside.

Expert opinion on drug delivery
INTRODUCTION: Breast cancer remains the most prevalent malignancy among women worldwide, with its pronounced molecular heterogeneity demanding therapeutic strategies that transcend conventional systemic chemotherapy toward tumor-selective, molecularl... read more 

Comparative effectiveness and cost-effectiveness of an artificial intelligence workflow for small renal mass diagnosis on computed tomography.

Urology practice
INTRODUCTION: Small renal masses are increasingly detected on imaging, but their accurate classification as benign, indolent, or aggressive remains challenging. Such classification can aid further diagnostic work up, improving patient outcomes and sa... read more