Artificial Intelligence Medical Compendium

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

Showing 48,891 to 48,900 of 224,513 articles

Enhancing survival analysis through federated learning in non-IID and scarce data scenarios.

Computers in biology and medicine
Integrating Artificial Intelligence (AI) into Survival Analysis (SA) has advanced predictive modeling in healthcare, enabling precise and personalized predictions of time-to-event outcomes, such as patient survival. However, real-world SA datasets of... read more 

Motor imagery EEG signal classification using minimally random convolutional kernel transform and hybrid deep learning.

NeuroImage
The brain-computer interface (BCI) establishes a non-muscle channel that enables direct communication between the human body and an external device. Electroencephalography (EEG) is a popular non-invasive technique for recording brain signals. It is c... read more 

Ligand-like lipid interactions with membrane proteins: Simulations and machine learning.

Current opinion in structural biology
Membrane lipids can bind to specific sites on membrane proteins in a ligand-like manner and modulate protein structure and function. Molecular dynamics simulations encompass a suite of approaches to identify, characterise, and explain the atomic-leve... read more 

Adaptive learning rate optimization in deep recurrent architectures for precision PM2.5 forecasting under climate variability.

Chemosphere
Accurate forecasting of fine particulate matter (PM_{2.5}) is critical for safeguarding public health; however, conventional deep learning models frequently encounter convergence instability when exposed to highly volatile meteorological inputs. This... read more 

Fusing data from CT deep learning, CT radiomics and peripheral blood immune profiles to diagnose lung cancer in a cohort of patients experiencing symptoms.

EBioMedicine
BACKGROUND: Lung cancer is the leading cause of cancer-related deaths. Diagnosis at late stages is common due to the largely non-specific nature of presenting symptoms contributing to high mortality. There is a lack of specific, minimally invasive lo... read more 

Platelets as immune sensors: monitoring immune dynamics and diagnosing disease states across multiple disorders.

EBioMedicine
BACKGROUND: Beyond their classical roles in haemostasis and thrombosis, platelets have been recognised as active regulators of immune responses. However, whether platelets can function as immune sensors capable of monitoring immune status remains lar... read more 

Generative AI in preanesthetic consultations: Effects on efficiency, documentation workload, quality, and physician-patient interaction: A simulation trial.

Journal of clinical anesthesia
BACKGROUND: Clinicians spend over 30% of their workday on electronic health records, reducing patient interaction and contributing to burnout. Preanesthetic consultations demand particularly detailed documentation, making them ideal for generative ar... read more 

Predicting non-mixing river flow using data-driven approaches: A case study in the Menindee region in Australia.

The Science of the total environment
Thermal stratification is a significant phenomenon driven by complex interconnected factors that reduce mixing between the top and the bottom layers, impacting oxygen and nutrient dispersion and potentially causing fish mortality. This study has asse... read more 

Multimodal machine learning for Cr(Ⅵ) removal and floc settling using image-based floc features and operating parameters.

Journal of environmental management
Electrocoagulation is a promising technique for Cr(Ⅵ) removal from wastewater, but its performance is limited by challenges in adapting to variable conditions, such as pH variations, electrolyte concentrations, and stirring rates, which impact floc f... read more