Neurology

Head Trauma

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

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Signal Mining and Analysis of Adverse Events of Isotretinoin: 20-year real-world pharmacovigilance analysis based on the FAERS database

To identify post-marketing adverse event (AE) signals associated with isotretinoin using real-world ...

Independent contributions of language activations in left and right temporal cortex to aphasia outcomes after stroke

Recovery from aphasia after stroke is thought to depend on functional reorganization of language pro...

Feature-Based Machine Learning for Brain Metastasis Detection Using Clinical MRI

Brain metastases represent one of the most common intracranial malignancies, yet early and accurate ...

An Unsupervised XAI Framework for Dementia Detection with Context Enrichment

Explainable Artificial Intelligence (XAI) methods enhance the diagnostic efficiency of clinical deci...

Does later chronotype cause poorer adolescent mental health? An Adolescent Brain Cognitive Development (ABCD) Study

This study investigated whether chronotype (biobehavioral preference for sleep and wake timing) acro...

Machine Learning-Driven Decision-Support System for Nursing Risk Assessment in Post-Discharge Care: A Design Science Approach

Hospital readmissions represent a persistent challenge for healthcare systems, often stemming from i...

Machine learning to phenotype pain and predict response to pain interventions among young adults with irritable bowel syndrome

Irritable bowel syndrome (IBS) is a prevalent disorder whose most debilitating symptom is pain. The ...

Mining medical narratives on geriatric falls to predict post-fall hospitalization via survival models and large language models

Timely admission to the emergency department is a crucial determinant of patient outcomes. Conversel...

Falls in Assisted Living Facilities: Can AI improve documentation and reduce injury?

Falls among elderly residents in assisted living facilities (ALFs) are prevalent, costly, and freque...

Hemi-brain growth as a biomarker for whole brain growth

Accurate cerebrospinal fluid (CSF) and brain volume estimation are important components for evaluati...

Agentic Generative Artificial Intelligence System for Classification of Pathology-Confirmed Primary Progressive Aphasia Variants

Accurate clinical and pathological diagnoses are essential in neurodegenerative diseases, especially...

Clinical Implementation of an AI Algorithm for Substance Misuse Screening in Hospitalized Adults

Manual inpatient screening for substance misuse is labor-intensive and inconsistently applied. Evalu...

Resting-state EEG and machine learning to investigate cortical connectivity as a biomarker in chronic mTBI

Mild traumatic brain injury (mTBI) is a heterogeneous condition with long-term sequelae, yet diagnos...

Machine Learning Analysis of Post-Acute COVID Symptoms Identifies Distinct Clusters, Severity Groups, and Trajectories

Questionnaires that capture patient-reported symptomatology provide low-cost but potentially high-va...

Investigating the Data Addition Dilemma in Longitudinal TBI MRI

Clinical machine learning (CML)for brain MRI often assumes that more data guarantees better performa...

Cerebral Cortical Reorganization After Intracerebral Hemorrhage in Children

Structural changes following pediatric intracerebral hemorrhage (ICH) caused by ruptured brain vascu...

Predicting brain age for veterans with traumatic brain injuries and healthy controls: an exploratory analysis.

BACKGROUND: Traumatic brain injury (TBI) is associated with increased dementia risk. This may be dri...

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