Artificial Intelligence Medical Compendium

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

Showing 31,731 to 31,740 of 220,797 articles

Contextualizing the Patient Blood Management (PBM) Program Through the Lens of Bioethical Principles.

Developing world bioethics
In an increasingly specialized medical landscape, Patient Blood Management (PBM) has emerged as a multidisciplinary and ethically grounded approach to optimize patient care, reducing the risks associated with transfusions-particularly their inflammat... read more 

Intelligent magnetic nanomaterials: a trinity framework of programmability, field-driven actuation, and data-guided intelligence.

Nanoscale
Intelligent magnetic nanomaterials (I-MNMs) represent a new generation of functional materials capable of sensing, learning, and adapting to dynamic environments. This work proposes a unified design framework that integrates structural programmabilit... read more 

Expanding and Enhancing Neural Network-Based QM-AI Models for the Accurate Prediction of Halogen-π Interaction Energies in Protein Contexts.

Journal of chemical information and modeling
In this study, we extend a previously introduced QM-AI strategy for predicting halogen···π interaction energies from a single aromatic model (representing phenylalanine) to multiple biologically relevant aromatic environments. Herein, neural network ... read more 

Minimum joint space width demonstrates higher inter-and intra-observer reliability than Kellgren-Lawrence grading in knee osteoarthritis.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
PURPOSE: The purpose of this systematic review was to compare the inter- and intra-observer reliability of Kellgren-Lawrence (KL) grading versus minimum joint space width (mJSW) measurement on knee radiographs, and to examine the influence of rater t... read more 

Predicting Molecular Laser Properties from First-Principles Using Machine Learning-Based Nuclear Ensemble Approach Spectra.

Journal of chemical theory and computation
The accurate prediction of absorption and emission spectra of molecular compounds using quantum mechanical (QM) methods is essential for understanding and designing laser materials, especially when experimental data are limited or inaccessible or whe... read more 

Identifying demographic predictors of increased non-fatal opioid overdose risk among New York State Medicaid enrollees following the COVID-19 pandemic: an analysis of heterogeneous treatment effects.

Epidemiology (Cambridge, Mass.)
BACKGROUND: Overdose rates in the U.S. rose dramatically during the COVID-19 pandemic. Well-documented racial and sociodemographic inequities in the impact of the pandemic suggest the potential for similar inequities for overdose. Our objective was t... read more 

A-Site Cation Functional Engineering Enables Lead-free Perovskite Photosynapse for Neuromorphic Visual Computing.

ACS applied materials & interfaces
Optoelectronic synapses that directly couple light sensing with memory and computing functions offer a promising route toward energy-efficient neuromorphic vision systems. However, the development of high-performance perovskite synapses remains heavi... read more 

Multimodal large language models in brain tumor imaging: clinical applications and future perspectives.

Radiologie (Heidelberg, Germany)
The use of multimodal data is essential for the precise diagnosis and treatment of brain tumors. In this context, multimodal data encompass multisequence magnetic resonance imaging, computed tomography, positron emission tomography, histopathological... read more 

Initial Multicenter Evaluation of a Novel Anchoring Exchange Device: AI-based Quantitative Distal Tip-Motion Analysis.

Clinical neuroradiology
PURPOSE: Exchange maneuvers during intracranial angioplasty and stent deployment can cause unintended distal tip motion, potentially leading to vessel injury. We evaluated a novel anchoring exchange device (Medilizer; Medikit, Tokyo, Japan), a 320-cm... read more