AIMC Topic: Humans

Clear Filters Showing 2331 to 2340 of 95995 articles

Rapid Liver Fibrosis Evaluation Using the UNet-ResNet50-32 × 4d Model in Magnetic Resonance Elastography: Retrospective Study.

JMIR medical informatics
BACKGROUND: Liver fibrosis is a pathological outcome of chronic liver injury and a hallmark of multiple chronic liver diseases. Magnetic resonance elastography (MRE) provides a non-invasive modality for evaluating the severity of liver fibrosis.

Insights Into History and Trends of Teaching and Learning in Stomatology Education: Bibliometric Analysis.

JMIR medical education
BACKGROUND: Stomatology education has experienced substantial transformations over recent decades. Nevertheless, a comprehensive summary encompassing the entirety of this field remains absent in the literature.

Efficacy of Telemedical Interventional Management in Patients with Coronary Heart Disease Undergoing Percutaneous Coronary Intervention: Randomized Controlled Trial.

Journal of medical Internet research
BACKGROUND: Coronary heart disease (CHD) continues to be a leading cause of global morbidity and mortality, with patients undergoing percutaneous coronary intervention (PCI) facing a significant risk of recurrent cardiovascular events. While secondar...

Automated Video-EEG Analysis in Epilepsy Studies: A Narrative Review of Advances and Challenges.

Journal of medical systems
Video-electroencephalography (vEEG) monitoring is currently the reference standard in the diagnosis of epilepsy. Manual analysis of vEEG recordings is time-consuming and inter-rater agreement is low even when the annotation is done by experienced doc...

Age-specific prevalence and predictors of lifetime suicide attempts using machine learning in Chinese adults: a nationwide multi-centre survey.

Epidemiology and psychiatric sciences
AIMS: The epidemiology and age-specific patterns of lifetime suicide attempts (LSA) in China remain unclear. We aimed to examine age-specific prevalence and predictors of LSA among Chinese adults using machine learning (ML).

TRIumph in nanotoxicology: simplifying transcriptomics into a single predictive variable.

Nanoscale horizons
The primary aim of our study was to address the problem of transcriptomic data complexity by introducing a novel transcriptomic response index (TRI), compressing the entire transcriptomic space into a single variable, and linking it with the inhaled ...

Laser-induced graphene for biomedical applications: innovations in health monitoring and diagnostics.

Nanoscale horizons
Laser-induced graphene (LIG) has emerged as a versatile and sustainable nanomaterial for biomedical applications, offering a unique combination of tunable surface chemistry, high electrical conductivity, mechanical flexibility, and biocompatibility. ...

Multifunctional electronic skin integrating dual-mode optical and pressure sensors for caregiving robots.

Nanoscale horizons
Advancements in artificial intelligence have broadened the capabilities of robots, particularly in caregiving applications that are essential for aging societies facing a growing shortage of human caregivers. Humanoid caregiving robots require sophis...

MODAPro: Explainable Heterogeneous Networks with Variational Graph Autoencoder for Mining Disease-Specific Functional Molecules and Pathways from Omics Data.

Analytical chemistry
The rapid growth of multiomics data has revolutionized our ability to investigate disease mechanisms, yet significant challenges persist in achieving meaningful integration due to inherent data heterogeneity, characteristic sparsity patterns, and the...

[Evaluation of ChatGPT's responses to symptom-oriented questions in otolaryngology].

Orvosi hetilap
Introduction: Chat Generative Pre-Trained Transformer (ChatGPT) is a recently developed artificial intelligence (AI)-based language model that has become an increasingly common source of health-related information due to its accessibility. However, t...