Artificial Intelligence Medical Compendium

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

Showing 4,351 to 4,360 of 174,001 articles

-Inspired Capacitive Pressure Sensor with High Sensitivity and Broad Range for Multidimensional Applications.

ACS applied materials & interfaces
Flexible capacitive pressure sensors hold great promise for next-generation intelligent systems, including secure human-machine interfaces, industrial IoT, and wearable healthcare. However, their performance is fundamentally constrained by the trade-... read more 

AlzFormer: Multi-modal framework for Alzheimer's classification using MRI and graph-embedded demographics guided by adaptive attention gating.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Alzheimer's disease (AD) is the most common neurodegenerative progressive disorder and the fifth-leading cause of death in older people. The detection of AD is a very challenging task for clinicians and radiologists due to the complex nature of this ... read more 

Accelerated Discovery of Refractory High-Entropy Alloys via Interpretable Machine Learning.

The journal of physical chemistry letters
Due to the outstanding thermal stability, inherent high melting points, and elevated temperature strengths, refractory high-entropy alloys (RHEAs) have been widely used for extreme environments in aerospace, nuclear energy, and advanced propulsion sy... read more 

Efficiently quantifying dependence in massive scientific datasets using InterDependence Scores.

Proceedings of the National Academy of Sciences of the United States of America
Large-scale scientific datasets today contain tens of thousands of random variables across millions of samples (for example, the RNA expression levels of 20,000 protein-coding genes across 30 million single cells). Being able to quantify dependencies... read more 

Tuning water dissociation at oxide-electrolyte interfaces with electric fields.

Proceedings of the National Academy of Sciences of the United States of America
Understanding how electric fields influence water dissociation at heterogeneous interfaces is crucial for controlling interfacial chemical reactions and advancing next-generation energy technologies. Herein, ab initio-based machine learning simulatio... read more 

Minimizing and quantifying uncertainty in AI-informed decisions: Applications in medicine.

Proceedings of the National Academy of Sciences of the United States of America
AI is now a cornerstone of modern dataset analysis. In many real world applications, practitioners are concerned with controlling specific kinds of errors, rather than minimizing the overall number of errors. For example, biomedical screening assays ... read more 

Protein functional site annotation using local structure embeddings.

Proceedings of the National Academy of Sciences of the United States of America
The rapid expansion of protein sequence and structure databases has resulted in a significant number of proteins with ambiguous or unknown function. While advances in machine learning techniques hold great potential to fill this annotation gap, curre... read more 

CO hydration at the air-water interface: A surface-mediated "in-and-out" mechanism.

Proceedings of the National Academy of Sciences of the United States of America
An understanding of the CO + HO hydration reaction is crucial for modeling the effects of ocean acidification, for enabling novel carbon storage solutions, and as a model process in the geosciences. While the mechanism of this reaction has been inves... read more 

Artificial Intelligence in Healthcare: Current Regulatory Landscape and Future Directions.

British journal of hospital medicine (London, England : 2005)
The integration of artificial intelligence (AI) in healthcare offers the potential to play a critical role in reshaping clinical practice. However, it also brings regulatory, ethical, implementation, social, and technical challenges that healthcare s... read more 

Hypersensitive pressure sensors inspired by scorpion mechanosensory mechanisms for near-body flow detection in intelligent robots.

Science advances
Sensitivity enhancement for pressure sensors over a broad linear range can improve sensing performance for a wide range of applications such as health monitoring and artificial intelligence. Here, inspired by the high-precision mechanosensory mechani... read more