Artificial Intelligence Medical Compendium

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

Showing 44,011 to 44,020 of 224,055 articles

Toward quantum-aware machine learning: Improved prediction of quantum dissipative dynamics via complex valued neural networks.

The Journal of chemical physics Mar 7, 2026
Accurately modeling quantum dissipative dynamics remains challenging due to environmental complexity and non-Markovian memory effects. Although machine learning provides a promising alternative to conventional simulation techniques, most existing mod... read more 

How simple can you go? An off-the-shelf transformer approach to molecular dynamics.

The Journal of chemical physics Mar 7, 2026
Most current neural networks for molecular dynamics (MD) include physical inductive biases, resulting in specialized and complex architectures. This is in contrast to most other machine learning domains, where specialist approaches are increasingly r... read more 

Cation dominated but negatively charged Na2SO4,aq-graphene interfaces.

The Journal of chemical physics Mar 7, 2026
The distribution of ions and their impact on the structure of electrolyte interfaces plays an important role in many applications. Interestingly, recent experimental studies have suggested the preferential accumulation of SO42- ions at the Na2SO4,aq-... read more 

Predicting copolymer critical parameters with a theory-integrated neural network.

The Journal of chemical physics Mar 7, 2026
The phase behavior of polymer solutions is essential for designing materials with targeted properties, but classical theories such as Flory-Huggins are limited by mean-field assumptions and often fail to capture sequence-specific effects. Here, we de... read more 

Integrative strategies for strawberry flavor optimization: From molecular biosynthesis to data-driven quality control.

Food chemistry Mar 7, 2026
Strawberry flavor directly influences consumer acceptance, yet its consistency and quality are often compromised along the field-to-fork continuum due to limited understanding of the biosynthesis and retention of volatile organic compounds (VOCs). Th... read more 

Tumor burden in metastatic colorectal cancer quantified using deep learning models: Prognostic value and maintenance treatment benefit in the CAIRO3 trial.

European journal of cancer (Oxford, England : 1990) Mar 7, 2026
INTRODUCTION: Total tumor number (TTN) and total tumor volume (TTV) reflect tumor burden and have been linked to outcomes in metastatic colorectal cancer (mCRC). We hypothesize that these measures can identify patients who benefit most from maintenan... read more 

External validation of an AI-Based fracture detection tool for hip and pelvic radiographs in a multicenter retrospective cohort.

European journal of radiology Mar 7, 2026
OBJECTIVE: Artificial intelligence tools show promise in fracture detection but may be impaired by hidden stratification. We aim to evaluate the diagnostic accuracy of a commercially available AI tool for detecting hip and pelvic fractures, with emph... read more 

FreeMD: Training-free multi-domain text-to-image generation with any control.

Neural networks : the official journal of the International Neural Network Society Mar 7, 2026
Diffusion models have promoted the development of controllable text-to-image generation with structure control. However, there still remain two limitations: (1) existing methods coupling text prompt and structure control inevitably lead to pixel-leve... read more 

Re: Abdelmotaal et al: Artificial Intelligence-Derived Biomechanical Index for Early Corneal Ectasia Detection: Advancing Beyond Tomography.

Ophthalmology science Mar 7, 2026
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What is the carbon footprint of a 100% digital pathology scenario in France?

Pathology Mar 7, 2026
Healthcare systems contribute to 5-10% of annual greenhouse gas (GHG) emissions and must reduce them to meet the 2016 Paris Agreement targets. Workflows in many areas of medicine are digitised, including surgical pathology (SP). This is the case in F... read more 
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