Artificial Intelligence Medical Compendium

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

Showing 40,631 to 40,640 of 223,737 articles

Comparing the performance of deep learning video-based models and trained veterinarians in cattle pain assessment.

Scientific reports
Accurate pain assessment in animals is crucial for ensuring animal welfare and guiding veterinary interventions. Traditional pain evaluation relies on scoring of pain behaviours by veterinarians, which can be influenced by observational variability a... read more 

A multimodal biomechanics dataset with synchronized kinematics and internal tissue motions during reaching.

Scientific data
Tissue motions within body segments, such as the relative movements of muscles, fascia, and bone, remain largely unexplored despite their relevance to movement dysfunction, force transmission, and motor skill. Here, we present a time-synchronized mul... read more 

Multilayer pyramid pooling self-attention for landslide detection using vision transformers.

Scientific reports
Vision Transformers have demonstrated strong performance across diverse visual tasks; however, their high computational cost due to long token sequences remains a critical challenge. Sequence reduction via pooling is a common strategy, yet relying on... read more 

Research on traffic flow prediction of progressive graph convolutional networks based on spatio-temporal self-attention mechanism.

Scientific reports
Spatio-temporal graph modeling is an important task in analyzing the spatio-temporal correlation of traffic flow prediction models, and although many existing methods optimize traffic flow modeling by constructing adaptive graphs, these methods use a... read more 

Epistemic uncertain computing for intrusion detection with explainability & multi-criteria optimization using AA-NLS and GRUSO-GRU.

Scientific reports
Owing to incomplete and inaccurate data, intrusion detection in networks is uncertain. The out-of-order packet arrival uncertainty was not analyzed in the existing works, thereby causing false positives in intrusion detection. So, in this paper, a no... read more 

Effects of climate and air pollution on rates of hospitalization for affective mood disorders in southern Brazil.

Scientific reports
Climate change and air pollution are two of the most pressing global challenges, increasingly recognized for their implications on health. Thus, we aimed to explore the associations between climate, air pollution and monthly hospitalization to Affect... read more 

Ensuring the integrity of AI models: a blockchain-based approach for protecting medical imaging training data.

Scientific reports
The development of trustworthy AI models is crucial, particularly for critical medical applications such as brain tumor detection using MRI images. However, medical images are being increasingly targeted by adversarial attacks to compromise the diagn... read more 

Identification and validation of NETs-associated biomarkers in osteoporosis with diabetes.

Scientific reports
Osteoporosis and diabetes represent major global public health challenges. Neutrophil extracellular traps (NETs) serve as key components of the innate immune system by capturing and eliminating pathogens. This exploratory study aimed to preliminarily... read more 

A practical ML framework for biomass torrefaction analysis and simulator deployment.

Scientific reports
Torrefaction is an effective thermochemical pretreatment for upgrading agricultural and forestry biomass into solid biofuels; however, selecting operating conditions remains challenging due to trade-offs between mass yield and energy densification. I... read more