Neurology

Head Trauma

Latest AI and machine learning research in head trauma for healthcare professionals.

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Class and isotype of VlsE-specific antibody differentiates Lyme disease stage.

UNLABELLED: Establishment of immunoglobulin diversity is contingent on recombination that occurs bot...

Machine learning improves post-transplantation hepatocellular carcinoma recurrence prediction.

BACKGROUND: To enhance post-transplantation hepatocellular carcinoma (HCC) recurrence prediction by ...

Biomolecular Interaction Prediction in the Pre- and Post-AlphaFold Era: The 8th CAPRI Evaluation.

We report on the 8th CAPRI Evaluation period, capturing the assessment of CAPRI Rounds 47 to 55 (exc...

Machine learning-based prediction model for post-ERCP cholangitis in patients with malignant biliary obstruction: a retrospective multicenter study.

BACKGROUND: Endoscopic retrograde cholangiopancreatography (ERCP) is the preferred palliative treatm...

Validation of the Toronto recurrence inference using machine-learning for post-transplant hepatocellular carcinoma model.

BACKGROUND: Organ shortages require prioritizing hepatocellular carcinoma (HCC) patients with the hi...

Post-hoc eXplainable AI methods for analyzing medical images of gliomas (- A review for clinical applications).

Deep learning (DL) has shown promise in glioma imaging tasks using magnetic resonance imaging (MRI) ...

Predicting SARS-CoV-2-specific CD4 and CD8 T-cell responses elicited by inactivated vaccines in healthy adults using machine learning models.

The ongoing evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants highl...

Predictive models of influenza A virus lethal disease yield insights from ferret respiratory tract and brain tissues.

Collection of systemic tissues from influenza A virus (IAV)-infected ferrets at a fixed timepoint po...

eyeNotate: Interactive Annotation of Mobile Eye Tracking Data Based on Few-Shot Image Classification.

Mobile eye tracking is an important tool in psychology and human-centered interaction design for und...

Beyond the human touch: A critical review of the promise and challenges of animal- and robot-assisted therapy in loneliness and mental healthcare.

Mental health disorders, including depression, anxiety, post-traumatic stress disorder, and dementia...

Benchmarking Ensemble Models to Predict Prolonged Hospital Stay in Traumatic Brain Injury: A Single-Institution Study.

INTRODUCTION: Prolonged length of stay (PLOS) in hospitals is a critical metric representing quality...

Early transcriptional responses reveal cell type-specific vulnerability and neuroprotective mechanisms in the neonatal ischemic hippocampus.

Neonatal hypoxic-ischemic (H-I) brain injury, a leading cause of neurodevelopmental disabilities, se...

Machine learning-based prognostic prediction for acute ischemic stroke using whole-brain and infarct multi-PLD ASL radiomics.

INTRODUCTION: Accurate early prognostic prediction for acute ischemic stroke (AIS) is essential for ...

Gut microbiome alterations and hepatic encephalopathy post-TIPS in liver cirrhosis patients.

BACKGROUND: The transjugular intrahepatic portosystemic shunt (TIPS), a crucial tool for treating co...

Characteristics of brain network connectome and connectome-based efficacy predictive model in bipolar depression.

Aberrant functional connectivity (FC) between brain networks has been indicated closely associated w...

3BTRON: A Blood-Brain Barrier Recognition Network.

The blood-brain barrier (BBB) plays a crucial role in maintaining brain homeostasis. During ageing, ...

Beyond Recanalization: Machine Learning-Based Insights into Post-Thrombectomy Vascular Morphology in Stroke Patients.

Many stroke patients have poor outcomes despite successful endovascular therapy (EVT). We hypothesiz...

Optimizing Vital Signs in Patients With Traumatic Brain Injury: Reinforcement Learning Algorithm Development and Validation.

BACKGROUND: Traumatic brain injury (TBI) is a critically ill disease with a high mortality rate, and...

Integrating CT radiomics and clinical features using machine learning to predict post-COVID pulmonary fibrosis.

BACKGROUND: The lack of reliable biomarkers for the early detection and risk stratification of post-...

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