Artificial Intelligence Medical Compendium

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

Showing 59,541 to 59,550 of 228,014 articles

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 

Taxonomical modeling and classification in space hardware failure reporting.

Scientific reports
NASA Johnson Space Center has collected more than 54,000 space hardware failure reports. Obtaining engineering processes trends or root cause analysis by manual inspection is impractical. Fortunately, novel data science tools in Machine Learning and ... read more 

Hybrid deep learning framework for accurate classification of high dimensional genomic data.

Scientific reports
High-dimensional genomic datasets often contain redundant, noisy, and sparse features that make accurate classification challenging for conventional deep learning (DL) models. Existing approaches generally fail to maintain interpretability and stabil... read more 

An interpretable deep learning model for predicting endometrial cancer molecular subtypes from H&E-stained slides.

NPJ precision oncology
The molecular subtype of endometrial cancer is important for predicting prognosis and treatment effectiveness. This study aimed to develop an interpretable deep learning model based on H&E-stained whole slide images (WSIs) to predict the molecular su... read more