AI Medical Compendium

3D human pose keypoints and corresponding joint angle calculation for vision-based WMSD risk assessments.

Ergonomics Mar 20, 2026

Vision-based pose estimation, which can utilise ordinary videos, has been applied to assess work-related musculoskeletal disorder (WMSD) risks as a less-intrusive and accessible method. However, the underlying machine learning models are built from g... read more

Variable Treatment Effects of Cranial Surgery in Pediatric Severe Traumatic Brain Injury.

Neurosurgery Mar 20, 2026

BACKGROUND AND OBJECTIVES: Severe traumatic brain injury (TBI) in children is associated with poor outcomes, but evidence surrounding the role of operative cranial surgery in this patient population is limited. Thus, we sought to evaluate association... read more

Stereotactic Body Radiotherapy for Spinal Metastases: Outcomes and Development of a Risk Assessment Score to Predict Local Tumor Progression.

Neurosurgery Mar 20, 2026

BACKGROUND AND OBJECTIVES: Stereotactic body radiotherapy (SBRT) has emerged as an effective treatment modality for spinal metastases. However, high-powered studies evaluating clinical and radiographic outcomes, and prognostic risk factors for local ... read more

Asynchronous Transition Across the Crystal-Melt Interface Revealed by Machine Learning Potentials.

Small (Weinheim an der Bergstrasse, Germany) Mar 20, 2026

Understanding the atomic-scale structure and thermodynamics of crystal-melt interfaces is crucial in materials science. Here, we employ a DFT-based machine learning potential to investigate the crystal-melt interface, taking silicon as an example of ... read more

Active-Site Engineering Enhanced PdRu Bimetallic Modified Hierarchical Mesoporous In2O3 Nanoflowers for Highly Efficient Assessment of Seafood Freshness.

Small (Weinheim an der Bergstrasse, Germany) Mar 20, 2026

Highly sensitive detection of trimethylamine (TMA) concentration in complex monitoring environments is a pivotal technology for food freshness assessment. Herein, through an active-site engineering strategy, PdRu-modified hierarchical In2O3 nanoflowe... read more

Application of protein language models for antibody developability prediction.

mAbs Mar 20, 2026

Protein language models (PLMs) provide a powerful framework for learning sequence - property relationships in antibodies. However, their performance and reliability in real-world industrial antibody discovery pipelines remain underexplored. Here, we ... read more

Automated Photothermal Control of Block Copolymer Self‑Assembly and Metal Oxide Nanostructures Sintering.

Macromolecular rapid communications Mar 20, 2026

We report a microscope-based photothermal platform that combines structured laser light projection with machine-learning-optimized illumination to enable rapid, spatially selective thermal processing of block copolymer (BCP) films and their inorganic... read more

Predicting the Timing of the Metabolic Inflection Point in Type 1 Diabetes Progression Using Machine Learning and Survival Analysis Models.

Diabetes Mar 20, 2026

We undertook this study to improve early identification of the metabolic inflection point (IP) preceding clinical type 1 diabetes in autoantibody-positive individuals. We aimed to develop and validate machine learning models using oral glucose tolera... read more

[Advances in integrated antimicrobial resistance diagnostics: quantitative, qualitative and AI-driven approaches].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz Mar 20, 2026

The rapid global increase in antimicrobial resistance complicates the treatment of life-threatening infections and makes fast, reliable antimicrobial susceptibility testing (AST) essential. While phenotypic methods such as broth dilution, agar diffus... read more

[Large language models in rheumatology : New ways of knowledge transfer].

Zeitschrift fur Rheumatologie Mar 20, 2026

Medical knowledge is growing exponentially in rheumatology, posing increasing challenges for knowledge dissemination among physicians, educators and patients. Traditional information and learning formats are reaching their limits in view of the rapid... read more

Artificial Intelligence Medical Compendium