Artificial Intelligence Medical Compendium

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

Showing 63,461 to 63,470 of 230,801 articles

Substrate-mediated trade-offs between pollutant removal efficiency and ecological risks in constructed wetlands treating multi-antibiotic wastewater.

Water research Jan 16, 2026
The environmental dissemination of antibiotic resistance genes (ARGs) is a cornerstone of the One Health crisis, linking human, animal, and environmental health. Engineered ecosystems, such as constructed wetlands (CWs), are critical for water purifi... read more 

Dual-representation structural MRI classification of psychiatric disorders using deep learning and large language models.

Psychiatry research. Neuroimaging Jan 16, 2026
Accurate differentiation among psychiatric disorders such as schizophrenia and bipolar disorder remains a significant clinical challenge due to overlapping symptoms and subtle neuroanatomical variations. This study proposes a dual-representation stru... read more 

Activating the SDF-1/CXCR4 axis: Notoginsenoside R1-Functionalized zinc scaffolds accelerate fracture healing and angiogenesis in diabetic osteoporosis.

Biomaterials Jan 16, 2026
Effective treatment of diabetic osteoporotic fractures (DOF) requires biomaterials capable of promoting vascularized bone regeneration. A biodegradable porous zinc (Zn) scaffold incorporating sustained-release Notoginsenoside R1 (NGR1), referred to a... read more 

Siamese networks in Raman spectroscopy: Towards a better performance against replicate variability.

Talanta Jan 16, 2026
The power of Raman spectroscopy is largely enhanced by machine learning and chemometrics, which extract and translate the spectral features into high-level biological or clinical knowledge by constructing classical or deep learning models. The genera... read more 

CoCoFR: Collaborative codebooks learning with soft matching strategy for blind face restoration.

Neural networks : the official journal of the International Neural Network Society Jan 16, 2026
Blind Face Restoration (BFR) has garnered considerable attention for its practical applicability to recover high-quality (HQ) facial images from their degraded versions. Existing BFR methods primarily incorporate diverse priors to mitigate its ill-po... read more 

NAR Broad Learning System for dynamical systems prediction.

Neural networks : the official journal of the International Neural Network Society Jan 15, 2026
Dynamical systems evolve over time, and predicting their behavior is difficult because of their complex spatiotemporal relationship. Although data-driven models have achieved great success in dynamical system analysis, extracting temporal dynamic and... read more 

A diagnosis tool for early detection and classification of heart disease in individuals using transformer mechanisms.

Computer methods and programs in biomedicine Jan 15, 2026
BACKGROUND: Heart disease remains a leading cause of mortality, making accurate and efficient prediction tools essential for the general population. In medical diagnosis, deep learning-based approaches have shown significant potential in identifying ... read more 

First-principles and machine learning investigation of the structural and optoelectronic properties of dodecaphenylyne: a novel carbon allotrope.

Nanoscale Jan 15, 2026
We report the computational discovery and characterization of Dodecaphenylyne (DP), a novel carbon allotrope with a unique geometric structure. The structural, dynamic, mechanical, electronic, and optical properties of DP were evaluated using density... read more 

Prediction of the phase transition temperatures of functional nanostructured liquid crystals: a machine learning method based on small data for the design of self-assembled materials.

Nanoscale Jan 15, 2026
Here we demonstrate the prediction of the isotropization temperatures of nanostructured ionic liquid crystals (ILCs) by a machine learning method. ILCs, which self-assemble into dynamic and well-ordered nanostructures, have been extensively studied b... read more 

Fast prototyping of memristors for ReRAMs and neuromorphic computing.

Nanoscale Jan 15, 2026
The growing demand for energy-efficient computing in artificial intelligence requires novel memory technologies capable of storing and processing information. Memristors stand out in thanks to their ability to store information, mimic synaptic behavi... read more 
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