Sepsis

DDA-SSNets: Dual decoder attention-based semantic segmentation networks for COVID-19 infection segmentation and classification using chest X-Ray images.

BACKGROUND: COVID-19 needs to be diagnosed and staged to be treated accurately. However, prior studi...

[Research progress of artificial intelligence technology in early diagnosis of sepsis].

Sepsis is caused by infection, which can ultimately lead to multiple organ dysfunction and even life...

Evidence from Machine Learning, Diagnostic Hub Genes in Sepsis and Diagnostic Models based on Xgboost Models, Novel Molecular Models for the Diagnosis of Sepsis.

BACKGROUND: Systemic multi-organ dysfunction resulting from dysregulated immune responses in the hos...

[The efficacy analysis of neurosurgical robot-assisted DBS in the treatment of elderly Parkinson's disease].

To investigate the surgical efficacy of neurosurgery robot deep brain stimulation(DBS) in the treat...

Therapeutic effects of orally administration of viable and inactivated probiotic strains against murine urinary tract infection.

Urinary tract infections (UTIs) are highly prevalent bacterial infections that pose significant heal...

Skin Changes in Suspected Lyme Disease.

Dear Editor, Ticks carry many diseases, bacteria, and viruses and represent a very important healthc...

Elettaria cardamomum essential oil; immunomodulatory, antioxidant, and anti-inflammatory effects for controlling acute Toxoplasma gondii infection.

The present study was conducted to investigate the immunomodulatory and anti-inflammatory effects of...

Inhibition of choline kinase as an antiamoebic approach in Entamoeba histolytica infection.

Entamoeba histolytica is the parasite responsible for amoebiasis, which can result in amoebic coliti...

Identification of Elderly Patients with Lower Respiratory Tract Infection by Artificial Intelligence Analysis of Cough Pattern Sounds.

BACKGROUND: Automatic recognition of cough sounds shows promise in the diagnosis of respiratory cond...

PLM-ARG: antibiotic resistance gene identification using a pretrained protein language model.

MOTIVATION: Antibiotic resistance presents a formidable global challenge to public health and the en...

Antibiotic identified by AI.

Computational approaches are emerging as powerful tools for the discovery of antibiotics. A study no...

The Role of Vitamin D Binding Protein and Vitamin D Level in Mortality of Sepsis Patients.

BACKGROUND: Vitamin D plays crucial roles in immune cell function, including macrophage activation, ...

ExpertNet: A Deep Learning Approach to Combined Risk Modeling and Subtyping in Intensive Care Units.

Risk models play a crucial role in disease prevention, particularly in intensive care units (ICUs). ...

Long-term SARS-CoV-2 neutralizing antibody level prediction using multimodal deep learning: A prospective cohort study on longitudinal data in Wuhan, China.

The ongoing epidemic of SARS-CoV-2 is taking a substantial financial and health toll on people world...

iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities.

Antimicrobial peptides (AMPs) are short peptides that play crucial roles in diverse biological proce...

Simultaneous Estimation of Tonic Dopamine and Serotonin with High Temporal Resolution In Vitro Using Deep Learning.

Quantitative measurement of the phasic (changes in several seconds) and tonic (changes in minutes to...

Deployment of machine learning algorithms to predict sepsis: systematic review and application of the SALIENT clinical AI implementation framework.

OBJECTIVE: To retrieve and appraise studies of deployed artificial intelligence (AI)-based sepsis pr...

Are we ready to adapt artificial intelligence for early sepsis detection?

[Intelligent identification of livestock, a source of infection, based on deep learning of unmanned aerial vehicle images].

OBJECTIVE: To develop an intelligent recognition model based on deep learning algorithms of unmanned...

An interpretable machine learning model for real-time sepsis prediction based on basic physiological indicators.

OBJECTIVE: In view of the important role of risk prediction models in the clinical diagnosis and tre...

New Guidance: From Infection Hazards to Artificial Intelligence.