Artificial Intelligence Medical Compendium

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

Showing 64,781 to 64,790 of 231,605 articles

A hybrid MMBERT framework for classifying periodontal bone loss: Integrating visual and textual information.

Journal of oral biology and craniofacial research Jan 14, 2026
INTRODUCTION: Periodontitis, a chronic inflammatory disease, causes bone loss and tooth instability. Early diagnosis, aided by clinical and radiographic assessments, is crucial. mmBERT, a multimodal deep learning approach, integrates image and text d... read more 

Multifeature Ultrasound-Based Classification for Breast Lesions: A Comparative Study of PONS Image Enhancement Technology.

Mayo Clinic proceedings. Innovations, quality & outcomes Jan 14, 2026
OBJECTIVE: To overcome critical limitations of B-mode ultrasound in artificial intelligence diagnostics-including poor image quality and operator variability-by developing a multifeature framework that combines raw B-mode scans with 2 optimized repre... read more 

Cross-sequence semi-supervised learning for multi-parametric MRI-based visual pathway delineation.

Physics in medicine and biology Jan 14, 2026
Objective.Accurately delineating the visual pathway (VP) is crucial for understanding the human visual system and diagnosing related disorders. Exploring multi-parametric MR imaging data has been identified as an important way to delineate VP. Howeve... read more 
Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Supervised Machine Learning Visual Pathways

Application of copper based single-atom nanozymes in wound healing and tumor treatment.

Journal of materials chemistry. B Jan 14, 2026
Single-atom nanozymes (SANs) with transition metals as their core are nanomaterials characterized by atomically dispersed active sites and intrinsic enzyme-mimicking activity, exhibiting ultrahigh catalytic efficiency. As an essential trace element a... read more 
Humans Animals Neoplasms Antineoplastic Agents Wound Healing Catalysis Copper Nanostructures

Completing the hierarchy of rotational defects in monolayer MoS2 through symmetry-aware evolutionary search.

Physical chemistry chemical physics : PCCP Jan 14, 2026
Monolayer molybdenum disulfide (MoS2) shows a plethora of defect configurations, which constitutes the basis for tailoring material properties through defect engineering. Detailed characterization of these defects remains challenging due to the compl... read more 

Rigidity-driven tail extension controls interfacial thickness in polymer-nanoparticle composites.

The Journal of chemical physics Jan 14, 2026
We employ coarse-grained molecular dynamics simulations to investigate interfacial reorganization in polymer-nanoparticle composites, focusing on the competing effects of chain rigidity (Kbend) and attractive strength (ɛ). Geometric constraints creat... read more 

Toward a deeper understanding of H-Ni3C interactions: rule-based insights.

Physical chemistry chemical physics : PCCP Jan 14, 2026
Ni3C exhibits high catalytic activity for hydrogen evolution and hydrogenation reactions; however, the electronic structure of the Ni3C surface has not been sufficiently investigated to clarify its interaction mechanism with H. In this study, we theo... read more 

LMProtein: a protein language model based framework for protein structural property prediction.

Physical chemistry chemical physics : PCCP Jan 14, 2026
Recent advances in machine learning and self-supervised deep language modeling have made it possible to accurately predict protein structural properties. Most existing models and pretraining methods leverage evolutionary information in multiple seque... read more 
Neural Networks, Computer Machine Learning Proteins Models, Molecular Amino Acid Sequence Protein Conformation Protein Structure, Secondary

Interpretable machine learning framework for predicting the reactivity of trifluoromethylating reagents.

Physical chemistry chemical physics : PCCP Jan 14, 2026
The incorporation of a trifluoromethyl (-CF3) group into organic frameworks profoundly influences their physicochemical and biological properties, making trifluoromethylating reagents indispensable in pharmaceutical, agrochemical, and materials resea... read more 

A predictive framework for stop-loss variants with C-terminal extensions.

Nucleic acids research Jan 14, 2026
Stop codons dictate translation termination, and variants occurring at these sites can result in stop-loss variants, leading to C-terminal extensions with significant functional consequences. Despite their clinical relevance, existing prediction tool... read more 
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