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Neurology Subcategories: Autism Dementia Head Trauma Parkinson's Disease Seizures Sleep Disorders

Showing 820-840 of 6,678 articles

Fine-Tuning Large Audio-Language Models with LoRA for Precise Temporal Localization of Prolonged Exposure Therapy Elements

Prolonged Exposure (PE) therapy is an effective treatment for post-traumatic stress disorder (PTSD...

Jun 2025 http://arxiv.org/abs/2506.09707v1

Flood-DamageSense: Multimodal Mamba with Multitask Learning for Building Flood Damage Assessment using SAR Remote Sensing Imagery

Most post-disaster damage classifiers succeed only when destructive forces leave clear spectral or...

Jun 2025 http://arxiv.org/abs/2506.06667v1

Statistically Valid Post-Deployment Monitoring Should Be Standard for AI-Based Digital Health

This position paper argues that post-deployment monitoring in clinical AI is underdeveloped and pr...

Jun 2025 http://arxiv.org/abs/2506.05701v1

[EVALUATION OF SCREENING FOR PTSD USING CONSORT AI RECOMMENDATIONS WITH A LARGE LANGUAGE MODEL].

Similar to major natural disasters and large-scale wars, the events of October 7th and the retaliato...

Jun 2025 40530627

Linking Symptom Inventories Using Semantic Textual Similarity.

An extensive library of symptom inventories has been developed over time to measure clinical symptom...

Jun 2025 40200899

Attention to early stages: predicting acute kidney injury in a post cardiosurgical ICU setting using an inclusive time-to-event model.

BACKGROUND: Acute kidney injury (AKI) is a critical complication in intensive care units (ICUs) that...

Jun 2025 40349581

Breaking the Gold Standard: Extracting Forgotten Data under Exact Unlearning in Large Language Models

Large language models are typically trained on datasets collected from the web, which may inadvert...

May 2025 http://arxiv.org/abs/2505.24379v1

Automated diagnosis for extraction difficulty of maxillary and mandibular third molars and post-extraction complications using deep learning.

Optimal surgical methods require accurate prediction of extraction difficulty and complications. Alt...

May 2025 40447616

UniRL: Self-Improving Unified Multimodal Models via Supervised and Reinforcement Learning

Unified multimodal large language models such as Show-o and Janus have achieved strong performance...

May 2025 http://arxiv.org/abs/2505.23380v1

A deep learning model for prediction of lysine crotonylation sites by fusing multi-features based on multi-head self-attention mechanism.

Lysine crotonylation (Kcr) is an important post-translational modification, which is present in both...

May 2025 40442183

Interpretable machine learning for predicting optimal surgical timing in polytrauma patients with TBI and fractures to reduce postoperative infection risk.

This retrospective study leverages machine learning to determine the optimal timing for fracture rec...

May 2025 40419723

Genetic Influences on Brain Aging: Analyzing Sex Differences in the UK Biobank using Structural MRI

Brain aging trajectories differ between males and females, yet the genetic factors underlying thes...

May 2025 http://arxiv.org/abs/2505.20344v1

Machine learning analysis of factors contributing to hypotension after lumbosacral epidural anaesthesia in dogs undergoing abdominal surgery.

The incidence of hypotension after a lumbosacral epidural in dogs depends on the volume of local ana...

May 2025 40410265

Neurology

Browse Categories

Fine-Tuning Large Audio-Language Models with LoRA for Precise Temporal Localization of Prolonged Exposure Therapy Elements

Flood-DamageSense: Multimodal Mamba with Multitask Learning for Building Flood Damage Assessment using SAR Remote Sensing Imagery

Statistically Valid Post-Deployment Monitoring Should Be Standard for AI-Based Digital Health

[EVALUATION OF SCREENING FOR PTSD USING CONSORT AI RECOMMENDATIONS WITH A LARGE LANGUAGE MODEL].

Linking Symptom Inventories Using Semantic Textual Similarity.

Attention to early stages: predicting acute kidney injury in a post cardiosurgical ICU setting using an inclusive time-to-event model.

Breaking the Gold Standard: Extracting Forgotten Data under Exact Unlearning in Large Language Models

Automated diagnosis for extraction difficulty of maxillary and mandibular third molars and post-extraction complications using deep learning.

UniRL: Self-Improving Unified Multimodal Models via Supervised and Reinforcement Learning

A deep learning model for prediction of lysine crotonylation sites by fusing multi-features based on multi-head self-attention mechanism.

Interpretable machine learning for predicting optimal surgical timing in polytrauma patients with TBI and fractures to reduce postoperative infection risk.

Genetic Influences on Brain Aging: Analyzing Sex Differences in the UK Biobank using Structural MRI

Machine learning analysis of factors contributing to hypotension after lumbosacral epidural anaesthesia in dogs undergoing abdominal surgery.

T2I-ConBench: Text-to-Image Benchmark for Continual Post-training

Machine learning in colorectal polyp surveillance: A paradigm shift in post-endoscopic mucosal resection follow-up.

Unsupervised post-training learning in spiking neural networks.

Machine Learning-Based Prediction of Mortality in Geriatric Traumatic Brain Injury Patients

EPIC: Explanation of Pretrained Image Classification Networks via Prototype

Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review

From Fibers to Cells: Fourier-Based Registration Enables Virtual Cresyl Violet Staining From 3D Polarized Light Imaging

Temporal fine-tuning for early risk detection

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