Artificial Intelligence Medical Compendium

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

Showing 44,001 to 44,010 of 224,055 articles

Accelerated discovery of highly active enzyme nanohybrids with parallelized Bayesian optimization in hybrid space.

Nature communications
Artificial intelligence (AI) has significantly advanced protein engineering, enabling rapid enzyme evolution for diverse applications. However, the fragile nature of biomacromolecules requires enzyme immobilization to preserve catalytic activity unde... read more 

Race/ethnicity, disability, and antenatal depression in the United States: population-level insights from machine learning.

Preventive medicine reports
OBJECTIVE: Women with intersecting identities, such as being both Black and disabled, face heightened risk of antenatal depression, yet few studies examine its nuanced mechanisms. To capture complex, interactive associations among risk factors, we ap... read more 

Deep learning in traditional Chinese medicine.

Journal of integrative medicine
As an alternative medicine approach, traditional Chinese medicine (TCM) is mainly built on an ancient understanding of the world. In order to translate the promises of TCM into modern therapies, rigorous scientific techniques are applied, which gener... read more 

Advancing clinical utility of artificial intelligence: lessons from developing a model to predict cochlear implant eligibility.

JAMIA open
OBJECTIVES: To address the gap between artificial intelligence (AI) model development and clinical implementation by developing a machine-learning model to predict cochlear implant (CI) eligibility based on routine hearing tests, while illustrating 3... read more 

Deviation From AI-Predicted Implant Sizes in Total Hip Arthroplasty Is Associated With Increased Complication Risk.

Arthroplasty today
BACKGROUND: Patient characteristics may predict implant sizes in total hip arthroplasty (THA), but the clinical value and generalizability of such models remain uncertain. This study evaluated the accuracy and relevance of an artificial intelligence ... read more 

A machine learning model to detect falls mimicking cardiac arrest-related collapse based on wrist-derived accelerometry: the DETECT-2 study.

European heart journal. Digital health
AIMS: In wearable-based automated cardiac arrest detection technology, photoplethysmography (PPG) is the most commonly used sensor to detect the absence of pulsations. To minimize false-positive cardiac arrest alerts, accelerometry signals are often ... read more 

Improved Debye-Callaway model for calculating the lattice thermal conductivity of anisotropic two-dimensional crystals.

The Journal of chemical physics
Thermal management in two-dimensional (2D) materials is pivotal, given their extensive technological utility in miniaturized devices. However, an expedient yet precise method for predicting the thermal transport properties of 2D materials remains to ... read more 

Deep learning of committor for ion dissociation and interpretable analysis of solvent effects using atom-centered symmetry functions.

The Journal of chemical physics
The association and dissociation of ion pairs in water are fundamental to physical chemistry, yet their reaction coordinates are complex, involving not only interionic distance but also solvent-mediated hydration structures. These processes are often... read more