Artificial Intelligence Medical Compendium

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

Showing 47,181 to 47,190 of 224,199 articles

A neuroimaging functional connectivity signature of emotional conflict monitoring predicting cognitive decline in type 2 diabetes.

Scientific reports Feb 25, 2026
Type 2 diabetes (T2D) is associated with cognitive decline and neurodegenerative disorders. Changes in the connections between brain regions responsible for emotions and memory might play a role in the reduced cognitive function observed in individua... read more 

A physics-informed hybrid ML framework for pore pressure and fracture gradient prediction in carbonate reservoirs.

Scientific reports Feb 25, 2026
Accurate prediction of formation pore pressure and fracture gradient is essential for safe mud-weight selection and wellbore stability, especially in heterogeneous offshore carbonate reservoirs. Classical empirical methods (Eaton, Miller, and Zhang) ... read more 

Deep residual and hybrid CNN models for confidence-aware real-world waste classification for sustainable waste management.

Scientific reports Feb 25, 2026
Efficient waste classification is crucial for promoting recycling and achieving sustainable waste management. Real-world waste streams, however, often include mixed, deformed, and contaminated items, making manual sorting inefficient and error prone.... read more 

Rewiring an E3 ligase enhances cold resilience and phosphate use in maize.

Nature Feb 25, 2026
Cold stress restricts plant growth and inorganic phosphate (Pi) uptake, reducing yield and increasing fertilizer demand1-3. Enhancing both cold tolerance and phosphorus use efficiency (PUE) is crucial for sustainable crop productivity. Here we identi... read more 

Vectorized instructive signals in cortical dendrites.

Nature Feb 25, 2026
Vectorization of teaching signals is a key element of almost all modern machine learning algorithms, including backpropagation, target propagation and reinforcement learning. Vectorization allows a scalable and computationally efficient solution to t... read more 

Compact deep neural network models of the visual cortex.

Nature Feb 25, 2026
A powerful approach to understand the computations carried out by the visual cortex is to build models that predict neural responses to any arbitrary image. Deep neural networks (DNNs) have emerged as the leading predictive models1,2, yet their under... read more 

The neurobiological cravings signature (NCS) as a predictive neuromarker of clinical outcomes in alcohol use disorder.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology Feb 25, 2026
The Neural Craving Signature (NCS), a machine learning derived neuroimaging biomarker, differentiates individuals with from those without substance use disorders (SUDs), but has not been evaluated for predicting clinical outcomes. In a secondary anal... read more 

AI-assisted analysis of early fluid dynamics following aflibercept 8 mg in treatment-naïve neovascular AMD.

Eye (London, England) Feb 25, 2026
PURPOSE: To evaluate early morphological changes following intravitreal aflibercept 8 mg in treatment-naïve neovascular age-related macular degeneration (nAMD) using artificial intelligence (AI)-assisted optical coherence tomography (OCT) segmentatio... read more 

Considering the missing science of retraining and maintenance in medical artificial intelligence, using ophthalmology as an exemplar.

NPJ digital medicine Feb 25, 2026
Considerations around model retraining are standard practice in industry and non-healthcare sectors; however, this is much less well explored in medical artificial intelligence (AI). The problem is not only that models often fail to generalise, but t... read more 

Experimental validation of MRAS sensorless direct torque control using ANN for induction motors in a pumping system.

Scientific reports Feb 25, 2026
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