Artificial Intelligence Medical Compendium

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

Showing 24,671 to 24,680 of 217,472 articles

On cloud microfluidic experiment platform powered by in situ maskless lithography.

Lab on a chip
Microfluidics has seen rapid growth across research and development, offering significant potential for scientific, engineering, and commercial applications. Yet, current teaching methodologies often lack a hands-on, problem-based learning approach, ... read more 

Detecting Binge Eating Risk With Naturalistic Data and Machine Learning: A Comparative Observational Study.

The International journal of eating disorders
OBJECTIVE: Negative affect is a primary antecedent for binge eating (BE). Just-in-time adaptive interventions (JITAIs) prompt the use of therapy skills when at risk for maladaptive behaviors. JITAIs show promise for improving emotion regulation skill... read more 

Recurrent Processing Dynamics in Occluded Object Recognition Revealed by Electroencephalography and Deep Neural Networks.

International journal of neural systems
The human visual system excels at recognizing occluded objects, yet the temporal dynamics of recurrent processing in this task remain unclear. Using high-temporal-resolution Electroencephalography (EEG), backward masking, and deep neural networks (DN... read more 

Ambient AI Scribes to Create Educational Feedback Notes for Medical Students: A Randomized Trial.

JMIR medical education
BACKGROUND: High-quality observation and feedback contribute to the development of clinical competence and professional growth in medical education. Faculty often struggle to translate verbal observations into written feedback because of documentatio... read more 

Repurposing Clinical Candidates for Nipah and Hendra Viruses.

ACS infectious diseases
Nipah virus (NiV) and Hendra virus (HeV) are bat-borne zoonotic paramyxoviruses that cause severe and often fatal respiratory and neurological disease in humans, for which no small-molecule therapies are currently approved. While host-protease-mediat... read more 

Decoding Kounis syndrome with artificial intelligence: from diagnosis to precision medicine.

Future cardiology
Kounis syndrome-acute coronary events triggered by allergic or hypersensitivity reactions-remains underrecognized across emergency and cardiology settings. Its heterogeneous presentation and overlapping mechanisms (vasospasm, plaque erosion/rupture, ... read more 

Integrative Metabolomics and Machine Learning Approach to Uncover Scab Resistance Markers in Mature Pecan Trees.

Journal of agricultural and food chemistry
Scab, caused by Venturia effusa, is the most destructive disease affecting pecan (Carya illinoinensis). Developing scab-resistant cultivars offers a sustainable solution for disease management. To elucidate the metabolic basis of resistance, we appli... read more 

Application of a machine learning-based PANoptosis-immune-related gene risk score model in prognostic stratification and immunotherapy benefit prediction for glioblastoma.

Computer methods in biomechanics and biomedical engineering
This study developed a risk score model using PANoptosis and immune-related genes to predict glioblastoma (GBM) prognosis. Utilizing TCGA data and 66 PANoptosis regulatory network-related genes, patients were clustered into two subtypes. Machine lear... read more