Artificial Intelligence Medical Compendium

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

Showing 51,591 to 51,600 of 225,182 articles

Optimization of potential targets for antidepressant Chinese medicines: AI and multi-omics methods.

Chinese medicine
The complexity of traditional Chinese medicine (TCM), with its numerous components, targets, and varying efficacy, presents challenges for current evaluation methods. Most existing methods rely on single, qualitative indicators, which provide limited... read more 

Re-envisioning the North American Biodosimetry Assessment Networking Group.

Disaster medicine and public health preparedness
The RNCP/NIAID recommends the creation of a North American Biodosimetry Assessment Networking Group (BANG) by developing a blueprint for integrating the relevant national capabilities to provide emergency biodosimetry assistance in civilian populatio... read more 

Expert Consensus on Ethical Governance for Clinical Applications of Generative Medical Artificial Intelligence(2025 Edition).

Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae
The research and innovative applications of generative medical artificial intelligence(GMAI)are rapidly advancing in the healthcare field.Significant breakthroughs of GMAI have been achieved in areas such as generating diagnostic suggestions,optimizi... read more 

Feature engineering methods for machine learning in heterogeneous catalysis.

Physical chemistry chemical physics : PCCP
Machine learning is revolutionizing the field of heterogeneous catalysis, transitioning from a supporting tool to a central force in materials discovery and mechanistic understanding. At the heart of this transformation lies feature engineering, whic... read more 

The Limits of Predicting Individual-Level Longevity: Insights From the U.S. Health and Retirement Study.

Demography
Individual-level mortality prediction is a fundamental challenge with implications for life planning, health care, social policies, and public spending. Drawing from the growing body of research on the predictability of life course events, we model a... read more 

Advances in nanostructured chemiresistive sensors for formaldehyde detection.

Nanoscale
Formaldehyde (HCHO) is deleterious both as an indoor volatile organic compound, contributing to respiratory and carcinogenic risks, and as an adulterant in food products such as fish, where ingestion poses severe systemic toxicity. Sub-ppm monitoring... read more 

Orbital-level engineering of bonding networks to modulate halogen migration in lead-free double perovskites.

Materials horizons
Ionic migration plays a pivotal role in determining the performance and operational stability of a wide range of optoelectronic devices. Halide double perovskites (HDPs) have emerged as promising lead-free alternatives to conventional perovskites; ho... read more 

Artificial Intelligence ECG Localization Facilitates Focused Activation Mapping and Improves Outcomes in Hemodynamically Unstable Ventricular Tachycardia.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology
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Criteria to Assess the Predictive and Clinical Utility of Novel Models, Biomarkers, and Tools for Risk of Cardiovascular Disease: A Scientific Statement From the American Heart Association.

Circulation
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate established cardiovascular risk factors and have evolved ove... read more