Latest AI and machine learning research in migraines for healthcare professionals.
BACKGROUND: The occurrence of deep venous thrombosis (DVT) following total hip arthroplasty (THA) po...
OBJECTIVE: Differentiating between Meniere's disease (MD) and vestibular migraine (VM) is challengin...
In recent years, the widespread adoption of wearable devices has highlighted the growing importanc...
The integration of artificial intelligence (AI) into healthcare is revolutionising the industry by e...
BACKGROUND: The present study aimed to deliver a replicable transcriptomic map of migraine without a...
Migraine is a common but complex neurological disorder that doubles the lifetime risk of cryptogen...
Migraine literacy among the public is known to be low, and this lack of understanding has a negati...
Cancer is a major public health problem while liver cancer is the main cause of global cancer-relate...
OBJECTIVES: Although deep learning has demonstrated substantial potential in automatic quantificatio...
Humans can experience auditory pain in response to sound, either from extremely loud noise or in cas...
Several clinical prediction models have been developed using electronic health records data to help ...
Accumulating evidence suggests that migraine patients present abnormal brain responses to salient se...
Large Language Models (LLMs) offer promising applications in healthcare, including drafting referral...
Chatbots have the potential to reduce barriers to pre-exposure prophylaxis (PrEP), including lack of...
Sub-Saharan Africa continues to shoulder the heaviest burden of malaria. The 2024 WHO malaria report...
Disease heterogeneity and commonality pose significant challenges to precision medicine, as traditio...
This scoping review explores how predictive modelling can strengthen pre-exposure prophylaxis (PrEP)...
Tuberculosis remains a major health threat, infecting nearly a third of the world’s population. Of t...
BACKGROUND: In many countries, patients with headache disorders such as migraine remain under-recogn...
This article presents the results of a study based on a group of participants' interactions with a...
BACKGROUND: The present study aimed to determine whether machine-learning (ML)-based models can pred...