Artificial Intelligence Medical Compendium

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

Showing 59,401 to 59,410 of 227,876 articles

Patient perceptions and attitudes towards the use of artificial intelligence in the symptomatic breast unit.

European radiology
OBJECTIVES: Artificial intelligence (AI) has been applied in a number of breast screening settings with favourable results. While there are a limited number of studies exploring patient attitudes on the use of AI in breast screening, none to date hav... read more 

Integrated assessment of environmental infrastructural and social risks for urban public safety.

Scientific reports
Urban public safety is shaped by the interaction of environmental, infrastructural, and social risks that often overlap across rapidly urbanizing regions. This study develops an integrated framework combining Geographic Information Systems (GIS), Mul... read more 

The potential for bridgmanite megacrysts to drive magma ocean segregation.

Nature
Earth's early mantle probably existed as a deep, vigorously convecting magma ocean, and its solidification is considered central to the long-term chemical and dynamical evolution of the planet. Yet a notable uncertainty is the grain size of bridgmani... read more 

Predatory aggression evolved through adaptations to noradrenergic circuits.

Nature
Behaviours are adaptive traits evolving through natural selection. Crucially, the genetic, molecular and neural modifications that shape behavioural innovations are poorly understood1. Here, we identify specialized adaptations linked to the evolution... read more 

Reciprocal cooperative gating fusion of SqueezeNet and ShuffleNetV2 for breast cancer detection in histopathology images.

Scientific reports
Breast cancer remains a critical global health challenge, with timely and reliable diagnosis being essential for improving clinical outcomes. Although recent advances in computer aided diagnosis (CAD) have increasingly adopted deep learning, many exi... read more 

A self attention based deep learning framework for accurate and efficient dental disease detection in OPG radiographs.

Scientific reports
Oral diseases are increasing now-a-days and there is a high demand for the automatic diagnostic system that helps the clinician to detect these oral diseases with more accuracy and reduced human error. Utilizing the advancement of Deep Learning techn... read more 

Enhanced language models for predicting and understanding HIV care disengagement: a case study in Tanzania.

NPJ digital medicine
Sustained engagement in HIV care and adherence to ART are crucial for meeting the UNAIDS "95-95-95" targets. Disengagement from care remains a significant issue, especially in sub-Saharan Africa. Traditional machine learning (ML) models have had mode... read more 

Knowledge graph enhanced cross modal generative adversarial network for martial arts motion reconstruction and heritage preservation.

Scientific reports
This paper presents a novel knowledge graph enhanced cross-modal generative adversarial network (KG-CMGAN) for preserving traditional martial arts techniques. We address the challenges of capturing the complex, multidimensional nature of martial arts... read more 

Quantum denoising autoencoder improves retinal fundus image quality for early diabetic retinopathy screening.

Scientific reports
Diabetic Retinopathy (DR) is a critical source of blindness that can be prevented globally, and accurate analysis of retinal fundus images enables early detection. Fundus images are often affected by multiple noise sources, which impair image quality... read more