Artificial Intelligence Medical Compendium

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

Showing 861 to 870 of 234,751 articles

Health Literacy and Communication in Stroke Prevention, Management, and Recovery: A Scientific Statement From the American Heart Association.

Stroke
Health literacy is a critical component of high-quality stroke care. Across the continuum from prevention through recovery, health literacy is strongly associated with functional outcomes and stroke-related morbidity. Despite its importance, it is of... read more 

AI and Deep Learning in Cardiovascular Imaging: From Risk Stratification to Precision Phenotyping.

Arteriosclerosis, thrombosis, and vascular biology
Cardiovascular imaging plays a central role in the diagnosis, risk stratification, and management of cardiovascular disease, yet the complexity and volume of imaging data increasingly exceed the capacity of conventional interpretation. Artificial int... read more 

Nucleic Acid Therapeutics in an Age of Artificial Intelligence.

Nucleic acid therapeutics
Artificial intelligence (AI) is transforming how scientific hypotheses are formulated, tested, and applied. Nucleic acid therapeutics can benefit from emerging opportunities but will also face new challenges. AI lowers the barrier to hypothesis gener... read more 

Best subset selection meets resampling: tackling selection instability at very low numbers of events per variable.

The international journal of biostatistics
Trust is a basic necessity for translating machine learning models from bench to bedside. To foster clinicians' trust in predictive models, these models should be interpretable or explainable. A major prerequisite for interpretability or explainabili... read more 

Unravelling the planetary health diet index-depression nexus: utilisation of network and machine learning approaches.

The British journal of nutrition
Adherence to the planetary health diet index (PHDI) is associated with health benefits, but its relationship with depression, particularly the roles of dietary components and symptoms, remains poorly understood. We aimed to (1) compare PHDI component... read more 

A Compact and Fast Single-Spike TTFS Encoder With Ultralow Operating Voltage for Efficient Neuromorphic Fourier Transform.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Fourier transform (FT) is an indispensable mathematical foundation for frequency-domain analysis in modern signal processing. However, conventional FT hardware relies on complex digital logic circuits, leading to high power consumption and poor adapt... read more 

BiotaPredictor: A machine learning framework for predicting drug depletion by the human gut microbiota.

Gut microbes
The gut microbiota can profoundly influence the performance of oral medicines by metabolizing or bioaccumulating drugs, thereby reducing systemic exposure and contributing to variable patient responses. Despite growing recognition of these interactio... read more 

Advancing Pregnancy and Pediatric Science through the NIH Transporter Elucidation Network.

Clinical pharmacology and therapeutics
Human gestation is characterized by dynamic changes in maternal physiology and maturation of tissue functions before and after birth. The fetus and neonate are highly dependent upon transfer of maternal nutrients via the placenta and lactating mammar... read more 

Artificial intelligence EEG biomarkers for schizophrenia diagnosis: Systematic review with PROBAST+AI assessment.

European psychiatry : the journal of the Association of European Psychiatrists
BACKGROUND: The application of artificial intelligence (AI) to resting-state electroencephalography (EEG) data represents a burgeoning frontier in schizophrenia diagnostics. However, the inferential validity of findings is frequently compromised by m... read more 

Conversion-Controlled Poly(Ionic Liquid)/Aluminum Nitride Thermal Interface Materials with Internal Plasticization for Reliable Chip-Level Thermal Management.

Small (Weinheim an der Bergstrasse, Germany)
The increasing power densities of artificial intelligence and high-performance computing (HPC) chips place stringent demands on thermal interface materials (TIMs), which are designed to combine efficient heat transport with interfacial conformability... read more