Artificial Intelligence Medical Compendium

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

Showing 651 to 660 of 213,137 articles

A Secure User Interface for Preclinical Evaluation of AI in Patient Portal Message Management: Tutorial.

JMIR medical informatics
The growing use of AI to support patient portal message management requires rigorous preclinical evaluation. Directly testing AI within electronic health record (EHR) systems poses significant safety, workflow, and data-governance risks. Here, we pre... read more 

A feature-efficient dual-task machine learning framework for predicting bone mineral density and osteoporosis stratification in resource-constrained environments.

PloS one
Osteoporosis is a chronic skeletal disorder characterized by progressive bone mineral density (BMD) loss and structural deterioration, significantly increasing fracture risk. Despite its high prevalence, early detection remains challenging due to its... read more 

Multi-class, unsupervised detection and classification of biological and anthropogenic sounds in coral reefs.

PLoS computational biology
Analyzing the complex and diverse soundscapes of ecosystems such as coral reefs remains a challenge for understanding environmental dynamics and processes. While machine learning techniques can significantly improve detection and classification capab... read more 

Automated concrete crack detection enhanced by deep learning and generative adversarial networks.

PloS one
Cracks on the surface of concrete structures are an obvious indication of their condition. However, traditional visual inspection methods are significantly influenced by human factors. They are accurate for larger cracks. However, they introduce subj... read more 

Fibrillarin-mediated 2'-O-methylation serves as a translation brake on uncapped enterovirus RNA.

PLoS pathogens
2'-O-methylation (Nm) is a key epitranscriptomic mark across diverse RNAs, yet its role in antiviral defense remains largely unexplored. To systematically investigate the landscape and functional significance of internal Nm modifications on enterovir... read more 

MicroWorldOmics: All-in-one Desktop Solution for Microbiome Profiling, Virome Analysis, and Unexplored "Dark Matter" Discovery.

Genomics, proteomics & bioinformatics
The large amount of high-throughput sequencing data generated in ecology, medicine, and pharmacology has increased the complexity of data analysis and interpretation. However, the microbiome and virome fields still lack a user-friendly and programmin... read more 

Defining and Assessing Empathic Communication in Patient Portal Secure Messages: Adapted Coding Framework Development Study.

JMIR formative research
BACKGROUND: Empathic communication in the clinical setting has been associated with improved clinical outcomes, decreased anxiety, and increased patient satisfaction, treatment adherence, and trust. Despite the recent growth in patient portal use, th... read more 

Analyzing Social Media to Infer Mental Health Status and Affective States for Crisis and Disaster Management: Scoping Review.

Journal of medical Internet research
BACKGROUND: The use of social media (SoMe) during crisis and disaster situations (CaDs) has gained increasing attention across disciplines. However, existing research is highly fragmented and often focused on technical aspects, with a limited underst... read more 

Unraveling Microplastics in Lakes with a Mechanism-Informed, Few-Shot Data-Driven Liquid Neural Networks.

Environmental science & technology
Simulating microplastic (MP) transport in aquatic environments faces two persistent bottlenecks: error accumulation in purely physical models and the intrinsic difficulty of machine learning methods with sparse, discontinuous field observations. Here... read more 

Perceptions, Attitudes, and Use of AI by Medical Students: Mixed Methods Study.

JMIR medical education
BACKGROUND: AI is transforming medicine by enhancing care, reducing administrative tasks, and facilitating research. AI also raises many concerns, including a lack of clinical context awareness, data dependence, and the absence of ethical judgment. A... read more