Artificial Intelligence Medical Compendium

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

Showing 20,921 to 20,930 of 216,088 articles

Photon absorption remote sensing (PARS): comprehensive absorption imaging enabling label-free biomolecule characterization and mapping.

Scientific reports
Label-free optical absorption microscopy techniques continue to evolve as promising tools for label-free histopathological imaging of cells and tissues. However, critical challenges relating to specificity and contrast, as compared to current gold-st... read more 

Compressive strength of mortar incorporating recycled nonmetallic printed circuit board waste: experimental and interpretable machine learning analysis.

Scientific reports
When disposed of in landfills, printed circuit boards (PCBs) release hazardous substances. Furthermore, the global sand crisis has gained considerable attention among environmentalists over the last few years, and the United Nations has proposed some... read more 

An integrated machine learning framework for EV charging management.

Scientific reports
As the shift to electric mobility intensifies, unpredictable EV charging challenges grid stability. This study proposes a multi-layered machine learning framework balancing grid optimization and user service. First, session-level prediction models es... read more 

Prenatal serotonin reuptake inhibitor exposure and maternal depression symptoms are associated with altered fetal brain and placental development.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
Maternal mental health is associated with fetal neurodevelopment. Identifying effective treatments for maternal psychiatric conditions is a public health priority. SRIs (SSRIs and SNRIs) are commonly prescribed for prenatal mental health conditions; ... read more 

Multi-modal federated learning with differential privacy for privacy-preserving healthcare AI.

Scientific reports
The growing adoption of artificial intelligence in healthcare highlights the need for models that can leverage heterogeneous patient data while preserving strict privacy requirements. This paper proposes a novel multi-modal federated learning framewo... read more 

RAN: A randomness-anchored watermark attacking network with stealth and effectiveness.

Scientific reports
Research on watermark attacking is essential to reinforce robust watermarking methods by providing new attacking benchmarks. Recently, there is an emergence of attacking methods based on deep learning, in which perceptual loss and watermark loss are ... read more 

Integration of transcriptome and DNA methylation reveals the mechanism of cilia-related genes in recurrent miscarriage.

Scientific reports
Recurrent miscarriage (RM), a complex pregnancy disorder with largely undefined molecular mechanisms, has been associated with epigenetic abnormalities in chorionic tissue. This study aimed to elucidate methylation-dependent cilia-related genes (CRGs... read more 

Machine learning approaches for resource management and forecasting in energy consumption systems.

Scientific reports
Renewable Energy Systems (RES) have become necessary with the growing need for sustainable energy globally; however, RES faces several problems such as power outages, instability and economic loss. These challenges are structured into three specific ... read more 

Integrative analysis of single-cell and transcriptomic data with RT-qPCR validation explores TRPM4-associated gene signatures in osteoarthritis synovium.

Scientific reports
Osteoarthritis (OA) is a chronic, disabling condition whose pathogenesis remains unclear. TRPM4 is closely associated with OA, but its specific roles and regulatory networks within different cell subsets remain to be elucidated. This study integrates... read more 

Leveraging AI and multi-source satellite imagery for multi-hazard monitoring and susceptibility mapping in urban areas.

Scientific reports
The increasing frequency and severity of natural hazards, such as floods, wildfires, land degradation, and ground displacement, pose significant challenges to the protection of urban areas worldwide. While traditional monitoring approaches based on a... read more