Artificial Intelligence Medical Compendium

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

Showing 591 to 600 of 234,501 articles

CLEAN Database: providing enzyme function coverage for over 55 million sequences.

Nucleic acids research
Enzyme function annotation is critical for decoding biological systems and enabling rational enzyme design. However, experimentally characterized enzyme functions remain available for only a small fraction of known protein sequences, resulting in a w... read more 

MechaScreener: Large language model-based automated screening for systematic reviews and research.

Research synthesis methods
Systematic reviews are the gold standard for evidence synthesis, but the manual title and abstract screening of thousands of references creates a severe bottleneck. Existing automated tools have historically struggled to achieve the near-perfect reca... read more 

Bionic Structural Design of Multifunctional Flexible Polypyrrole Sensors for Human Health Monitoring.

Small methods
Rehabilitation medicine is an essential component of universal health coverage, while emerging electronic skin offers new opportunities for portable and personalized healthcare. However, flexible pressure sensors still face trade-offs among sensitivi... read more 

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