Artificial Intelligence Medical Compendium

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

Showing 39,881 to 39,890 of 223,737 articles

A social media driven model for evaluating coupled flood damage and resilience at a fine scale.

Scientific reports
With the increasing frequency of extreme rainfall events due to climate change, enhancing flood resilience has become a critical focus for urban researchers and planners. However, existing studies rarely evaluate the relationship between flood resili... read more 

A two-stage framework for cost-sensitive predictive maintenance using deep learning, GANs, and risk-aware clustering.

Scientific reports
Predictive maintenance (PdM) has seen significant advances through machine learning, yet its practical deployment remains challenged by data scarcity, system complexity, and uncertainty in cost-related decisions. The majority of current PdM strategie... read more 

The regulation of artificial intelligence in intensive care units: from narrow tools to generalist systems.

NPJ digital medicine
Artificial intelligence (AI) is increasingly explored for use in intensive care units. While most approved AI devices use narrow models, research is shifting towards generalist systems based on large language models and agentic AI. In this perspectiv... read more 

Recent Advances in the Non-viral Delivery of Genes to Central Nervous System Disorders.

Cellular and molecular neurobiology
Disorders of the central nervous system (CNS), neurological disorders, neurodegenerative disorders, genetic disorders) constitute a significant burden on global health, and current treatment options remain challenging. As treatment for CNS disorders ... read more 

Linguistic, Orthographic, and Typographical Errors in Science (LOTS): A Growing Threat to Academic Integrity.

Annals of biomedical engineering
Biomedical engineers produce knowledge and artifacts. Across the life cycle of an idea, errors can creep in. In this letter, we propose the term linguistic, orthographic, and typographical errors in science (LOTS) to represent a category of errors th... read more 

Application of Artificial Intelligence in MedDRA Coding: A Practical Exploration from Clinical Data Management Perspective.

Therapeutic innovation & regulatory science
BACKGROUND: Traditional manual MedDRA coding in clinical data management (CDM) faces persistent challenges, including suboptimal site data quality, terminology complexity, low efficiency, inconsistent outcomes, frequent dictionary updates, and regula... read more 

Enhancing Gaussian process regression-accelerated QM/MM free energy simulations using atomic environment descriptors.

The Journal of chemical physics
Accurate free energy simulations based on combined quantum mechanical and molecular mechanical (QM/MM) potentials are essential for understanding reaction mechanisms in complex environments. Achieving abĀ initio QM/MM accuracy at the cost of more affo... read more 

Co-localization analysis of spatial transcriptomics in ligand-receptor pairs from tumor microenvironment.

Critical reviews in oncology/hematology
Ligand-receptor pair analysis, a key aspect of cell-to-cell interactions, is vital for understanding physiological and pathological processes in organisms. However, most analytical tools fail to incorporate spatial in situ information, resulting in f... read more