Artificial Intelligence Medical Compendium

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

Showing 5,721 to 5,730 of 205,623 articles

Machine learning based prediction of recurrence in oral tongue cancer: a systematic review with quantitative synthesis.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
PURPOSE: Oral tongue squamous cell carcinoma (OTSCC) is characterized by aggressive local invasion and a high risk of cervical nodal metastasis and mortality. Earlier detection of recurrent OTSCC is associated with improved survival. This systematic ... read more 

Interventions for improving resilience among healthcare workers: a systematic map.

Npj mental health research
Healthcare worker resilience is essential to building effective, functional, and crisis-ready health systems. This systematic map aimed to provide a comprehensive overview of the global evidence and identify gaps in resilience interventions for healt... read more 

Rapid earthquake magnitude classification via P-wave strains from borehole strainmeters and Distributed Acoustic Sensing.

Nature communications
Distributed Acoustic Sensing (DAS) offers a promising approach for earthquake early warning (EEW) in settings where seismic networks are costly to maintain. By repurposing fiber optic cables as dense strainmeter arrays, DAS enables real-time earthqua... read more 

Improving crystal material property prediction with multi-view geometric graph transformer.

Nature communications
Accurately and comprehensively representing crystal structures is critical for advancing machine learning in large-scale crystal materials simulations. However, effectively capturing and leveraging the intricate geometric and topological characterist... read more 

O-SNAP uncovers nanoscale chromatin remodeling in dedifferentiation and stress responses.

Nature communications
The multi-scale organization of chromatin underlies gene regulation and cell identity, yet how nuclear architecture remodels during cell state transitions remains poorly understood. Here, we use single-molecule localization microscopy and a comprehen... read more 

LG-Transformer: learned-graph transformer framework enabling diverse physicochemical properties prediction toward fuel design.

Nature communications
Green fuels are essential for decarbonizing transportation sectors, requiring accurate prediction of different physicochemical properties to optimize engine performance and emissions. Although artificial intelligence-based models demonstrate signific... read more 

How to quickly determine whether patients with chronic cough need corticosteroid treatment--construction of a predictive model for corticosteroid-responsive cough in chronic cough.

NPJ primary care respiratory medicine
Patients with chronic cough need to undergo a wide range of tests and rely on empirical medication to determine the underlying cause. Corticosteroid-responsive cough (CRC) accounts for the majority of the causes of chronic cough, and the diagnostic p... read more 

Genome-wide modelling of plant transcription factor binding captures regulatory variants associated with phenotypic traits.

Nature communications
The sequence-specific recognition of cis-regulatory elements (CRE) by transcription factors (TF) propagates genotype information to phenotypes. Understanding how genetic variation affects gene regulation remains limited by the diversity and complexit... read more 

Data-driven concavity engineering for magnetic activation in rigid microspheres.

Nature communications
Concave architectures harness geometric curvature to amplify interfacial activity and local fields, presenting encouraging prospects for catalytic, optical, and electromagnetic applications. However, their controllable synthesis in rigid metals remai... read more 

Photonic Mixture-of-Experts for scalable multi-task on-chip optical neural networks.

Nature communications
Photonic computing offers an energy-efficient, high-bandwidth platform for artificial intelligence (AI) but currently faces scalability bottlenecks stemming from depth-dependent designs, linear optical structures, and intrinsic optical losses, along ... read more