AI Medical Compendium

Machine learning predicts postoperative mortality in a Latin American cardiovascular surgery multicenter cohort: Toward precision risk stratification.

The Journal of thoracic and cardiovascular surgery May 4, 2026

OBJECTIVE: A total of 28% of global cardiac surgeries are performed in Latin America; however, surgeons there are faced with many preventable deaths, partly as the result of the lack of accurate, region-specific risk assessment tools. We developed an... read more

Improving Isotope Ratio Accuracy in Metabolic Labeling Using Orbitrap Mass Spectrometry: A Machine Learning Correction Algorithm for Metabolic Flux Analysis.

Analytical chemistry May 4, 2026

Stable isotope labeling is widely used to study metabolic fluxes. Mass spectrometry is the primary tool for measuring isotope ratios in biomolecules, but there are often trade-offs between mass resolution, sensitivity, analytic speed, and, most impor... read more

Who falls victim to cyberbullying? Insights from linear regression and machine learning model in a socioecological perspective.

The American journal of orthopsychiatry May 4, 2026

Adolescent cyberbullying victimization has emerged as a pressing global concern, with complex risk factors spanning across multiple ecological levels. However, few studies have systematically examined multilevel determinants using large-scale, cross-... read more

Bimetallic FeCu-N-C Single-Atom Nanozymes with Triple Enzymatic Activities Enabling a Colorimetric Sensor Array for Machine-Learning-Assisted Pesticide Discrimination.

Analytical chemistry May 4, 2026

Herein, by formamide self-condensation, an innovative Fe-Cu dual-atom nanozyme (FeCu-N-C) is presented, engineered with adjacent metal sites within a nitrogen-doped carbon scaffold, that exhibits synergistically enhanced peroxidase-, oxidase-, and la... read more

#MultipleSclerosis: Artificial intelligence-based sentiment and content analysis of Tweets.

Chronic illness May 4, 2026

ObjectivesThe aim is to uncover the perspectives of Twitter users on Multiple Sclerosis (MS) in English tweets by: (i) determining the sentiment of the text (ii) identifying the discussed topics.MethodsThe tweets were scanned in April 2023 using the ... read more

Flexible Strain-Temperature Dual-Modal Smart Patch Based on 3D Printing for Wound Healing Promotion and Health Monitoring.

ACS applied materials & interfaces May 4, 2026

For patients with open joint wounds, postoperative rehabilitation requires real-time and reliable monitoring of physiological parameters. Conventional elastomer- and textile-based wearable sensors often suffer from mechanical mismatch, limited breath... read more

[Evidence generation and methodological consultation by the project "EVAluation research based on data from routine clinical care 4 the Medical Informatics Initiative" (EVA4MII)].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz May 4, 2026

Routine data from healthcare are gaining importance for evidence generation. In Germany, new structures have been established in recent years to support their use. As part of the Medical Informatics Initiative (MII), data integration centres (DIZ) ha... read more

The Rise in Artificial Intelligence and Machine Learning Models to Screen for Cleft-Related Velopharyngeal Dysfunction: A Systematic Review.

The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association May 4, 2026

ObjectiveTo systematically review literature on the use of artificial intelligence (AI) and machine learning (ML) models for detecting velopharyngeal dysfunction (VPD) in patients with cleft palate.DesignSystematic review conducted in accordance with... read more

[AI-based surgical planning of adult spinal deformities : Analysis of an AI-based tool for correction planning and execution employing patient-specific contoured rods].

Orthopadie (Heidelberg, Germany) May 4, 2026

BACKGROUND: Optimal alignment correction can potentially lower the high complication rates of adult scoliosis surgeries. AI tools can help make the analysis and planning process easier as well as improve the surgical realization via patient-specific ... read more

Geometric deep reinforcement learning with hierarchical variational autoencoders for de novo drug design and activity optimization.

Journal of computer-aided molecular design May 4, 2026

Traditional drug discovery is a resource-intensive process with high attrition rates and the huge difficulty of working with a chemical space that is thought to include [Formula: see text] molecules. Even though computational chemistry has come a lon... read more

Artificial Intelligence Medical Compendium