Migraines

Artificial intelligence enabled interpretation of ECG images to predict hematopoietic cell transplantation toxicity.

Artificial intelligence (AI)-enabled interpretation of electrocardiogram (ECG) images (AI-ECGs) can ...

Frequency-Specific Alternations in the Amplitude of Fluctuations in Tension-Type Headache: A Machine Learning Study.

Brain neural signal at different frequency bands relates to different functions. However, the freque...

[Digitization in the diagnosis and treatment of headache].

In recent years, machine learning, particularly Natural Language Processing, has emerged as a valuab...

Temporally Aligned Audio for Video with Autoregression

We introduce V-AURA, the first autoregressive model to achieve high temporal alignment and relevan...

An Exploration of Effects of Dark Mode on University Students: A Human Computer Interface Analysis

This research dives into exploring the dark mode effects on students of a university. Research is ...

Comment on "What predicts citation counts and translational impact in headache research? A machine learning analysis".

Artificial intelligence and headache.

BACKGROUND AND METHODS: In this narrative review, we introduce key artificial intelligence (AI) and ...

Natural Language Processing Accurately Differentiates Cancer Symptom Information in Electronic Health Record Narratives.

PURPOSE: Identifying cancer symptoms in electronic health record (EHR) narratives is feasible with n...

Response to letter to the editor: "What predicts citation counts and translational impact in headache research? A machine learning analysis".

Discriminating retinal microvascular and neuronal differences related to migraines: Deep Learning based Crossectional Study

Migraine, a prevalent neurological disorder, has been associated with various ocular manifestation...

Improved optimizer with deep learning model for emotion detection and classification.

Facial emotion recognition (FER) is largely utilized to analyze human emotion in order to address th...

Performance of an Open-Source Large Language Model in Extracting Information from Free-Text Radiology Reports.

Purpose To assess the performance of a local open-source large language model (LLM) in various infor...

Optimizing Concussion Care Seeking: Using Machine Learning to Predict Delayed Concussion Reporting.

BACKGROUND: Early medical attention after concussion may minimize symptom duration and burden; howev...

What predicts citation counts and translational impact in headache research? A machine learning analysis.

BACKGROUND: We aimed to develop the first machine learning models to predict citation counts and the...

Approach to the Patient With Headache.

OBJECTIVE: The evaluation of patients with headache relies heavily on the history. This article revi...

Artificial Intelligence and Family Medicine.

Artificial intelligence (AI) is certainly going to have a large, potentially huge, impact on the pra...

Skin Changes in Suspected Lyme Disease.

Dear Editor, Ticks carry many diseases, bacteria, and viruses and represent a very important healthc...

Extended Venous Thromboembolism Prophylaxis after Robotic Staging for Endometrial Cancer.

OBJECTIVES: Our objectives were to estimate the incidence of venous thromboembolism (VTE) after robo...

Developing an artificial intelligence-based headache diagnostic model and its utility for non-specialists' diagnostic accuracy.

BACKGROUND: Misdiagnoses of headache disorders are a serious issue. Therefore, we developed an artif...

Crossing the Rubicon? The future impact of artificial intelligence on headache medicine.

Low Risk of Venous Thromboembolism After Robot-assisted Radical Prostatectomy Through Systemic Image Assessment: A Prospective Study.

BACKGROUND/AIM: The aim of the study was to evaluate the risk of venous thromboembolism (VTE) after ...