Latest AI and machine learning research in migraines for healthcare professionals.
BACKGROUND AND METHODS: In this narrative review, we introduce key artificial intelligence (AI) and ...
Facial emotion recognition (FER) is largely utilized to analyze human emotion in order to address th...
BACKGROUND: Early medical attention after concussion may minimize symptom duration and burden; howev...
Purpose To assess the performance of a local open-source large language model (LLM) in various infor...
BACKGROUND: We aimed to develop the first machine learning models to predict citation counts and the...
OBJECTIVE: The evaluation of patients with headache relies heavily on the history. This article revi...
Artificial intelligence (AI) is certainly going to have a large, potentially huge, impact on the pra...
Dear Editor, Ticks carry many diseases, bacteria, and viruses and represent a very important healthc...
OBJECTIVES: Our objectives were to estimate the incidence of venous thromboembolism (VTE) after robo...
BACKGROUND: Misdiagnoses of headache disorders are a serious issue. Therefore, we developed an artif...
BACKGROUND/AIM: The aim of the study was to evaluate the risk of venous thromboembolism (VTE) after ...
Dermatomyositis is a common connective tissue disease. The occurrence and development of dermatomyos...
A method based on liquid chromatography coupled with high-resolution quadrupole time-of-flight mass ...
A sensitive, high-throughput method was established for the simultaneous determination of 12 antiepi...
Atrial fibrillation (AF) is common in the elderly. The treatment of this condition is based on antic...
Allogeneic hematopoietic stem cell transplantation (AHSCT) is a major method of treatment for differ...
Present study is conducted to investigate the efficacy and safety of application of low-molecular-we...
The antiphospholipid antibody syndrome is defined by the presence of antiphospholipid antibodies in ...