Results 141 to 150 of about 376,933 (332)

Machine Learning‐Assisted Infectious Disease Detection in Low‐Income Areas: Toward Rapid Triage of Dengue and Zika Virus Using Open‐Source Hardware

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki   +3 more
wiley   +1 more source

Pregnant patients with severe headaches – don’t forget brain tumours!

open access: yesSouth African Medical Journal
Although sometimes innocuous, headaches in pregnancy may be associated with serious, even life-threatening conditions, with diagnosis delayed due to nonspecific findings associated with normal pregnancy.
T Hassim, D Hall, P Mjuleka
doaj   +1 more source

Large Language Model‐Based Chatbots in Higher Education

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci   +4 more
wiley   +1 more source

Chiropractic clinical reasoning in a patient with migraine headaches [PDF]

open access: yes, 2015
This poster presents the successful evidence-based diagnosis and management of a patient with migraine headaches in a chiropractic setting. Migraine headaches are 19th worldwide among diseases causing disability. Prevalence of migraine is estimated at 15%
Funk, Matthew F., Whipple, Cortnee
core  

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni   +11 more
wiley   +1 more source

Comparison of Auditory Brainstem Evoked Responses between Migraine Patients and Healthy Controls: A Cross-sectional Study

open access: yesJournal of Clinical and Diagnostic Research
Introduction: Migraine is a complex neurological disorder associated with noise hypersensitivity most evident during attacks (ictal), however persistent during the post-attack (interictal) period as well.
Daniya Khalid   +3 more
doaj   +1 more source

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