AI Medical Compendium

A mechatronic and artificial intelligence-driven framework for automated non-invasive knee abnormality screening using multimodal sensor data.

Computer methods in biomechanics and biomedical engineering Jun 3, 2026

Current knee-abnormality detection relies on costly Magnetic Resonance Imaging (MRI) and subjective clinical evaluation, limiting accessibility. This study presents an integrated mechatronic and machine-learning framework using surface electromyograp... read more

Integration of single-cell and bulk RNA sequencing reveals programmed cell death-associated transcriptional programs in sepsis-induced acute lung injury.

PloS one Jun 3, 2026

BACKGROUND: Sepsis-induced acute lung injury (ALI) is a frequent and life-threatening complication of sepsis, yet clinically actionable transcriptomic biomarkers remain limited. Regulated/programmed cell death (PCD) pathways shape inflammatory injury... read more

Radiologist workforce challenges and the burden of image interpretation in Ghana: Perspectives of frontline doctors and implications for healthcare delivery.

PLOS global public health Jun 3, 2026

Interpreting radiological images, a primary responsibility of radiologists, is crucial for accurate diagnosis and informed clinical decisions. However, many low-and-middle-income countries (LMICs) face severe radiologist shortages, leading to diagnos... read more

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

PloS one Jun 3, 2026

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 Jun 3, 2026

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 Jun 3, 2026

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 Jun 3, 2026

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 Jun 3, 2026

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 Jun 3, 2026

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 Jun 3, 2026

Artificial Intelligence Medical Compendium

A mechatronic and artificial intelligence-driven framework for automated non-invasive knee abnormality screening using multimodal sensor data.

Integration of single-cell and bulk RNA sequencing reveals programmed cell death-associated transcriptional programs in sepsis-induced acute lung injury.

Radiologist workforce challenges and the burden of image interpretation in Ghana: Perspectives of frontline doctors and implications for healthcare delivery.

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

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

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

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

Happiness and hypertension prevalence: A global analysis.

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

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

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