Neurology

Head Trauma

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

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Showing 778-798 of 6,597 articles
Quantum-Grassmann-Plucker Token Mixing for Deep Learning-Based Post-Disaster Damage Assessment

Timely post-disaster building damage assessment from satellite imagery is a critical engineering dec...

Intent Drift in LLM-Assisted Brain Computer Interface Communication: An In-Silico Benchmark Under Simulated Decoder Corruption

Background Large language models are increasingly proposed to post-edit decoded text in communicatio...

High-Throughput Observational Evidence Generation Using Linked Electronic Health Record and Claims Data

Background: Many of the most consequential treatment decisions concern patients and comparisons that...

The urinary-metabolite-based lung cancer index (uLCI): an interpretable machine-learning risk model for early-stage disease

BackgroundFive-year survival from lung cancer exceeds 60% at stage I-II but falls below 10% once met...

Intervention-Aware Clinical World Model for Post-Op Outcome Forecasting in Cardiology

Many clinical prediction models treat post-intervention outcomes as a one-step mapping from baseline...

Use of Federated Learning for validating and updating privacy-preserving decentralized multi-study prognostic models in Traumatic Brain Injury

Developing modern clinical prediction models (CPMs) and advanced analytics requires large datasets, ...

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Machine learning and data-driven models for predicting post-stroke dysphagia: a systematic review and meta-analysis

Background: Post-stroke dysphagia (PSD) contributes to aspiration, pneumonia, malnutrition, prolonge...

A Deep Learning Framework for Biomarker Segmentation and Classification in Traumatic Brain Injury

Traumatic brain injury (TBI) triggers widespread biomarker activation, including astrocytic markers ...

Lesion Segmentation in Moderate to Severe Traumatic Brain Injury: An nnU-Net Based Approach with Adaptive Normalization in the AIMS-TBI 2025 Challenge

The segmentation of lesions in Moderate to Severe Traumatic Brain Injury (msTBI) from T1-weighted MR...

HASTE: A Platform for Rapid Post-Disaster Building Damage Assessment

When a large disaster strikes, responders need a map of which buildings are damaged within hours. Th...

Comparative Performance of Clinical Scoring Systems for Early Mortality Prediction in Blunt Traumatic Brain Injury

Background: Early risk stratification in traumatic brain injury (TBI) is essential for timely triage...

Age and Social Observation Effects on Theta Synchrony and Its Role in Adolescent Post-Error Control: A Computational Approach

Error monitoring allows for detecting mistakes and adapting behavior. Error monitoring is associated...

Rethinking Post-Hoc Calibration in Semantic Segmentation

Reliable confidence estimates are essential in semantic segmentation, especially in safety-critical ...

Retinal resuscitation in post-mortem eyes

Vision loss compromises the quality of life of millions of people worldwide. Currently, vision-resto...

A multi-architecture study of specificity refinement and false-positive mechanism analysis in prostate MRI

Objectives: To characterize residual false positives in prostate MRI detection, and to evaluate a li...

OrthoMotion:Disentangling Camera and Subject Motion via Geometry Semantics Orthogonal Attention

Controllable video generation demands independent command of the camera and the subject, yet 2D cond...

From Reconstruction to Decision: A Post-Encoder Plug-in Adapter for Curvilinear Segmentation

Curvilinear object segmentation, including vessels and cracks, is challenging due to extreme spatial...

Machine learning evaluation of gene expression-based ALS subtypes across brain and blood tissues

The clinical and molecular heterogeneity observed in amyotrophic lateral sclerosis (ALS) presents a ...

A hybrid framework integrating structural machine learning and 3D liver-on-chip assay for drug-induced liver injury prediction

Drug-induced liver injury (DILI) remains one of the most pressing challenges in drug development, co...

Contour-Constrained Deformable Registration with Parameter Characterization for Head and Neck Surgical Guidance

With 890,000 annual new cases globally, head and neck squamous cell carcinoma has one of the highest...

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