Artificial Intelligence Medical Compendium

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

Showing 45,561 to 45,570 of 224,055 articles

Fairness analysis of machine learning predictions of aggression in acute psychiatric care.

Npj mental health research
Machine learning (ML) is increasingly being developed to support individualized risk assessment and de-escalation in acute psychiatry. However, ML algorithms have been shown to exhibit unfair behavior based on protected characteristics, such as an in... read more 

Deep learning-based labor relations prediction system with multi-source data fusion and early warning mechanisms.

Scientific reports
Predicting workplace conflicts before they escalate into formal disputes or collective action represents a persistent challenge in organizational management, one that traditional statistical methods and expert judgment systems address inadequately du... read more 

Single capture quantitative oblique back-illumination microscopy.

Npj imaging
Quantitative oblique back-illumination microscopy (qOBM) has emerged as a powerful technique for label-free, 3D quantitative phase imaging of arbitrarily thick biological specimens. However, in its initial embodiment, qOBM requires multiple captures ... read more 

Thermal analysis of flat plate solar air heater system with radiation reflectors and W-shaped roughness: artificial neural network & machine learning approach.

Scientific reports
The lower thermal behavior of solar-based thermal systems limits the contribution of solar systems to meet current energy demand of industries. The Flat Plate Solar Air Heater (FPSAH) is extensively utilized in many applications requiring reasonable ... read more 

Mixture of experts extra tree-based sEMG hand gesture recognition.

Scientific reports
Human hand gesture recognition has emerged as a significant research interest in robotic hand control using surface electromyography. It is popular due to its non-invasive nature and ability to capture gesture movements. However, proper handling of o... read more 

A unified EfficientSwinB-based framework for medicinal plant recognition and safflower germplasm classification.

Scientific reports
The accurate recognition of medicinal plants and fine-grained crop genetic resources is essential for pharmacology, precision agriculture, and biodiversity conservation. However, leaf-based plant recognition remains challenging due to complex backgro... read more 

DECODE: deep learning-based common deconvolution framework for various omics data.

Nature methods
Deconvolution algorithms estimate cell-type abundances from tissue-level data, enabling systematic cellular analysis of large cohorts. However, most deconvolution algorithms are specifically designed for single-omics data, thereby limiting their gene... read more 

Lightweight convolutional neural network for real-time earthquake P-wave detection on edge devices in New Zealand.

Scientific reports
Earthquake P-wave detection is the first and most critical step in Earthquake Early Warning (EEW), as detection speed determines how much time is available before strong shaking arrives, while detection accuracy governs the reliability of the warning... read more