Artificial Intelligence Medical Compendium

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

Showing 51,541 to 51,550 of 225,182 articles

BENMO|Simulation: A computationally efficient and biologically enhanced model for nutrient dynamics in coastal bays.

Water research Feb 11, 2026
Simulating nutrient dynamics in coastal bays is challenged by the high computational cost and the oversimplification of multi-trophic organisms processes. Here, we present a simulation model (named BENMO|Simulation) under the Bay Estuary Nutrient Man... read more 

Near- and Mid-Infrared Spectroscopy for the Rapid and Non-Destructive Analysis of Wheat Flour and Wheat-Based Products: A Review.

Food chemistry Feb 11, 2026
Wheat flour and its derivatives are staple foods worldwide, making their quality and safety essential for the food industry and consumers. Conventional analytical methods are often slow, costly, and destructive. In recent years, infrared spectroscopy... read more 

SD2-ReID: A semantic-stylistic decoupled distillation framework for robust multi-modal object re-identification.

Neural networks : the official journal of the International Neural Network Society Feb 11, 2026
The core challenge of multi-modal object re-identification (ReID) lies in reconciling the style discrepancies across different modalities with the semantic consistency of identity. However, existing methods are difficult to effectively separate seman... read more 

NPSA 2025 Presidential Address:Innovation, clinical translation, and leadership in surgery: From concept to impact.

American journal of surgery Feb 11, 2026
Innovation is frequently invoked as an essential driver of progress in modern surgery, yet its definition, implementation, and leadership aspects remain inconsistently understood. Drawing on clinical experience, systems-based research, and translatio... read more 

Soft-sensing for compressor test time reduction with time-delay neural networks.

ISA transactions Feb 11, 2026
This study proposes a soft-sensor-based method to significantly shorten compressor performance evaluation tests and presents the results of its industrial application over five years by a compressor manufacturer. Traditional approaches demand long te... read more 

Machine learning for hemodynamic instability prediction and hemorrhage management in trauma and perioperative care.

Current opinion in anaesthesiology Feb 11, 2026
PURPOSE OF REVIEW: Hemodynamic instability and uncontrolled hemorrhage remain leading causes of preventable morbidity and mortality in trauma and perioperative critical care. This review summarizes recent advances in machine learning-based approaches... read more 

Artificial intelligence and predictive analytics in obstetric anesthesia: early warning for maternal complications.

Current opinion in anaesthesiology Feb 11, 2026
PURPOSE OF REVIEW: Maternal morbidity and mortality remain largely preventable, yet current risk-assessment tools identify only a fraction of women who experience severe complications. This review synthesizes recent advances in artificial intelligenc... read more 

Data integration and systems interoperability: the prerequisite for artificial intelligence in anesthesiology.

Current opinion in anaesthesiology Feb 11, 2026
PURPOSE OF REVIEW: Anesthesiology generates large volumes of heterogeneous perioperative data, including high-resolution physiological signals, clinical documentation, and device-generated information. Despite this richness, the clinical deployment o... read more 

Accelerating rare disease diagnostics by linking DNA and RNA through an explainable and interactive RNA-guided workflow.

NAR genomics and bioinformatics Feb 11, 2026
Challenges preventing mainstream use of RNA-sequencing (RNA-seq) in genome diagnostics are sources of biological and technical variation, typically caused by intrinsic differences in gene expression between tissue types, cellular conditions, and envi... read more 

An ELIXIR scoping review on domain-specific evaluation metrics for synthetic data in life sciences.

NAR genomics and bioinformatics Feb 11, 2026
Synthetic data (SD) has become an increasingly important asset in the life sciences, helping address data scarcity, privacy concerns, and barriers to data access. Creating artificial datasets that mirror the characteristics of real data allows resear... read more 
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