Pain Management

Migraines

Latest AI and machine learning research in migraines for healthcare professionals.

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Showing 274-294 of 1,780 articles
Evaluating GPT-4o Model Proficiency and Clinical Reasoning for Antimicrobial Stewardship in Dentistry

Objectives: Dentists prescribe approximately one in ten antibiotics worldwide, yet antimicrobial ste...

The Illusion of Understanding: A Randomized Controlled Trial of LLM-Generated Lay Summaries of Brain MRI Reports

Background: Large language models have been proposed to improve patient comprehension of radiology r...

Uncertainty-aware extraction of clinical findings from Finnish EHRs using open large language models

Objective. To evaluate whether open-weight large language models (LLMs) can accurately extract clini...

Aura: Consistent Multi-Subject Video Generation via VLM-Grounded Semantic Alignment

Subject-driven and multi-element video generation are central to controllable video synthesis, but e...

External Validation and Calibration Assessment of Explainable Machine Learning Models for GVHD Prediction After Allogeneic HSCT

BackgroundGraft-versus-host disease (GVHD) remains a major determinant of morbidity and mortality fo...

AURA: Active-Response Attribution under Treatment Ambiguity in Bacterial Cytological Profiling

When a bacterial sample is exposed to several antibiotics, not every applied drug necessarily acts: ...

Giving AI a Headache: Acoustic Adversarial Attacks to Computer Vision Applications

Artificial Intelligence (AI) is increasingly used to automate a variety of real-world computer visio...

Comfort with AI for HIV Prevention Among Cisgender Women in New York City

Background: Long-acting pre-exposure prophylaxis (PrEP) expands HIV prevention options for women. Ho...

MASHA: A Multi-Agent System for Healthcare Sentiment Analysis Using AI for Migraine Detection in Arabic Tweets

Migraine detection and sentiment analysis in healthcare have become increasingly important, particul...

Scalable machine learning improves resistance prediction and identifies novel determinants in Mycobacterium tuberculosis

Multidrug-resistant and extensively drug-resistant Mycobacterium tuberculosis (MTB) represents a gro...

Medical errors in large language models revealed using 1,000 synthetic clinical transcripts

Current clinical evaluations of large language models (LLMs) rely on datasets which fail to reflect ...

PaReGTA: An LLM-based EHR Data Encoding Approach to Capture Temporal Information

Temporal information in structured electronic health records (EHRs) is often lost in sparse one-hot ...

Development and validation of neurological health score using machine learning algorithms

Neurological health score (NHS), indicating the health of brain and nervous system, helps in identif...

Electrophysiological Correlates of Reinforcement Learning in the Human Ventral Tegmental Area

The ventral tegmental area is the primary source of dopaminergic input to the human prefrontal corte...

Localized Latent Editing for Dose-Response Modeling in Botulinum Toxin Injection Planning

Botulinum toxin (Botox) injections are the gold standard for managing facial asymmetry and aesthetic...

Exploring Gender Differences in Chronic Pain Discussions on Reddit

Pain is an inherent part of human existence, manifesting as both physical and emotional experience...

AURA-CVC: Autonomous Ultrasound-guided Robotic Assistance for Central Venous Catheterization

Purpose: Central venous catheterization (CVC) is a critical medical procedure for vascular access,...

Use of machine learning techniques to predict poor survival after hematopoietic cell transplantation for myelofibrosis.

With the incorporation of effective therapies for myelofibrosis (MF), accurately predicting outcomes...

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Jun 2025 40145857
Abnormal Static and Dynamic Functional Connectivity in Tension-Type Headache: A Support Vector Machine Analysis.

Tension-type headache (TTH) is a primary headache with the highest prevalence. Previous studies have...

Jun 2025 40519127
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