Artificial Intelligence Medical Compendium

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

Showing 2,001 to 2,010 of 213,633 articles

Construction and Applications of Knowledge Graphs in Ophthalmology.

Ophthalmic research Jul 16, 2026
Knowledge Graph (KG) is an artificial intelligence technique that provides a structured representation of medical entities and their relationships, thereby facilitating integration of heterogeneous information, knowledge discovery, and intelligent re... read more 

Precision Oncology in Northern Germany - Integrating Multi-Omics and AI to Support Evidence-Based Molecular Tumor Boards.

Oncology research and treatment Jul 16, 2026
The expanding availability of multi-omics profiling and advances in artificial intelli-gence (AI) and machine learning (ML) are changing precision oncology. Molecular testing strategies such as longitudinal liquid biopsy assessment, germline variant ... read more 

Unraveling uneven urbanites' expressed happiness across Chinese cities using geotagged social media data: Key predictors and future climate-happiness associations.

PloS one Jul 16, 2026
Understanding inter-city disparities in urban expressed happiness (EH) and the key predictors for these differences is critical for advancing socially sustainable urban development. However, the key predictors for EH remain poorly understood, and exi... read more 

Screening of core targets for Di(2-ethylhexyl) Phthalate-related gastric cancer based on machine learning, molecular docking, and SHAP analysis.

PLoS computational biology Jul 16, 2026
PURPOSE: Given the existing uncertainties regarding the link between Di(2-ethylhexyl) phthalate (DEHP) exposure and gastric cancer (GC) progression, this study aimed to clarify their association, identify the toxic targets of DEHP, and elucidate the ... read more 

Analysis of vapor cloud explosion behavior in LPG spherical tanks using multi-energy modeling and machine-learning-based factor assessment.

PloS one Jul 16, 2026
Vapor cloud explosions (VCEs) associated with liquefied petroleum gas (LPG) storage systems represent a significant hazard in refinery operations. Accurate estimation of explosion distance is essential for safety setback design and quantitative risk ... read more 

Acute kidney injury severity in ICU patients: Developing and evaluating a data-driven analysis of clinical covariates using machine learning.

PloS one Jul 16, 2026
BACKGROUND: Acute kidney injury remains a major cause of morbidity and mortality in critically ill patients. Existing classification systems rely on serum creatinine and urine output thresholds and do not fully capture the complex, multifactorial nat... read more 

Wiz regulates clustered protocadherin genes by restricting CTCF/cohesin loop extrusion in a genomic-distance biased manner.

PLoS genetics Jul 16, 2026
Zinc finger proteins (ZFPs or ZNFs) constitute the largest family of transcription factors in mammals; however, their regulatory mechanism remains largely elusive. Here we propose COP (C2H2-ZFP occupancy predictor), a deep learning-based heuristic sc... read more 

Dynamics-enhanced molecular property prediction guided by deep learning.

PLoS computational biology Jul 16, 2026
Molecular property prediction (MPP) is a key challenge in computational biology and drug discovery. Traditional approaches mostly rely on feature representations yielded from static structures of molecules, ignoring their dynamic nature. The scarcity... read more 

Development and validation of the AI literacy, risk perception, and academic confidence questionnaire for Chinese pre-service teachers.

PloS one Jul 16, 2026
Artificial intelligence (AI) is becoming increasingly relevant to teacher education, yet evidence remains limited on how pre-service teachers' AI literacy, risk perception, and academic confidence can be assessed within a coherent but multidimensiona... read more 

Evaluating Large Reasoning Models Versus Human Multidisciplinary Teams in Lung Cancer Decision-Making: Real-World Study.

Journal of medical Internet research Jul 16, 2026
BACKGROUND: Large language models (LLMs) and large reasoning models (LRMs) have shown excellent performance on medical benchmarks, although evaluations concerning real-world medical workflows are still lacking. Lung cancer care is particularly depend... read more 
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