Artificial Intelligence Medical Compendium

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

Showing 3,021 to 3,030 of 202,937 articles

Machine learning (ML) in intraoperative neuromonitoring (IONM): proof of concept.

Spine deformity Jun 4, 2026
PURPOSE: Intraoperative neuromonitoring (IONM) improves safety during pediatric spinal deformity surgery by providing real-time neurophysiological assessment, enabling the earlier detection of neural compromise and the potential prevention of permane... read more 

Integrated CNN-LSTM-XGBoost hybrid model predicts shale oil seismic attributes and global oil price trends.

Scientific reports Jun 4, 2026
This study proposes a hybrid CNN-LSTM-XGBoost model that integrates shale oil seismic attributes with macroeconomic indicators to predict global oil prices. The model extracts spatial features from seismic volumes using 3D CNNs and captures temporal ... read more 

A predictive model for flow index performance of pit drip irrigation emitters using BP-PSO algorithm.

Scientific reports Jun 4, 2026
It is crucial to accurately obtain the flow index in designing and developing labyrinth drip irrigation emitters. This study designed a pit drip irrigation emitter based on plant biomimetic principles, and created training-testing datasets (160 data ... read more 

Patient-specific modeling identifies metabolic interventions for reversing glucose use reprogramming in alcohol-associated hepatitis.

Communications biology Jun 4, 2026
Alcoholic hepatitis (AH) is an acute form of alcohol-associated liver disease with very few treatment options. Recent studies highlighted liver metabolic reprogramming in AH as an indicator of severity. We aim at identifying new intervention points t... read more 

Label-free interferometry platform for drug response profiling of bioprinted tumor organoids at single-organoid resolution.

Nature protocols Jun 4, 2026
Organoids have become mainstay tools for drug discovery and personalized medicine. High-throughput imaging readouts for drug screening of tumor organoids are of particular interest as organoid-level quantification of responses provides insights into ... read more 

Three-dimensional inversion of gravity data using implicit neural representations and scientific machine learning.

Scientific reports Jun 4, 2026
Inversion of gravity data is an important method for investigating subsurface density variations relevant to mineral exploration, geothermal assessment, carbon storage, natural hydrogen, groundwater resources, and tectonic evolution. Here we present ... read more 

An interpretable ultrasound-based deep learning system for early breast cancer in a Chinese population.

Insights into imaging Jun 4, 2026
OBJECTIVES: Current deep learning models for early breast cancer lack interpretability and multimodal integration, limiting their clinical acceptance. This study aimed to develop and evaluate a deep learning system that automates breast ultrasound ev... read more 

UniPTMs: a unified multi-type PTM site prediction model via master-slave architecture-based multi-stage fusion strategy and hierarchical contrastive loss.

BMC bioinformatics Jun 4, 2026
BACKGROUND: As a core mechanism of epigenetic regulation in eukaryotes, protein post-translational modifications (PTMs) require precise prediction to decipher dynamic life activity networks. To address the limitations of existing deep learning models... read more 

Tissueformer: extending single-cell foundation models to predict population-level phenotypes.

BMC bioinformatics Jun 4, 2026
BACKGROUND: Single-cell RNA sequencing technologies have enabled unprecedented insights into gene expression and opened new pathways for diagnostics and tissue annotation. At present, most computational approaches for interpreting single-cell data pr... read more 

Construction and validation of a machine learning-based prediction model for social isolation in patients with colorectal cancer after stoma surgery.

BMC gastroenterology Jun 4, 2026
OBJECTIVE: To investigate the current status and influencing factors of social alienation in patients with enterostomy after colorectal cancer surgery, and to establish a risk prediction model for social alienation in this population. METHODS: A tota... read more 
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