Migraines

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 machine learning (ML) concepts, aimed at headache clinicians and researchers. Thereafter, we thoroughly review the use of AI in headache, based on a comprehensive literature search across PubMed, Embase and IEEExplore. Finally, we discuss limitations, as well as ethical and political perspectives.

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 natural language processing (NLP). However, more ef...

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 manifestations suggestive of neuronal and microvascular deficit...

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 the needs of many real-time applications such as com...

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 information extraction tasks from real-life emergency b...

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

BACKGROUND: Early medical attention after concussion may minimize symptom duration and burden; however, many concussions are undiagnosed or have a del...

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 translational impact, defined as inclusion in gui...

Approach to the Patient With Headache.

OBJECTIVE: The evaluation of patients with headache relies heavily on the history. This article reviews key questions for diagnosing primary and secon...

Artificial Intelligence and Family Medicine.

Artificial intelligence (AI) is certainly going to have a large, potentially huge, impact on the practice of family medicine. The specialty is fortuna...

Skin Changes in Suspected Lyme Disease.

Dear Editor, Ticks carry many diseases, bacteria, and viruses and represent a very important healthcare issue both in Croatia and globally. Although m...

Extended Venous Thromboembolism Prophylaxis after Robotic Staging for Endometrial Cancer.

OBJECTIVES: Our objectives were to estimate the incidence of venous thromboembolism (VTE) after robotic staging for endometrial cancer and to compare ...

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 artificial intelligence-based headache diagnosis model ...

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 robot-assisted radical prostatectomy (RARP) and di...

Study on the differentially expressed genes and signaling pathways in dermatomyositis using integrated bioinformatics method.

Dermatomyositis is a common connective tissue disease. The occurrence and development of dermatomyositis is a result of multiple factors, but its exac...

[Simultaneous determination of twelve antiepileptic drugs in serum by ultra high performance liquid chromatography-tandem mass spectrometry].

A sensitive, high-throughput method was established for the simultaneous determination of 12 antiepileptics in serum by ultra high performance liquid ...

[Rapid screening and determination of fentanyl and its analogues in drugs by liquid chromatography- quadrupole time-of-flight mass spectrometry].

A method based on liquid chromatography coupled with high-resolution quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) was developed for the si...

Anticoagulant treatment in elderly patients with atrial fibrillation: a position paper.

Atrial fibrillation (AF) is common in the elderly. The treatment of this condition is based on anticoagulation to prevent stroke and systemic arterial...