Volume 18, (August Spl Edition)
Comparison of CNN, VGG-19, and ResNet-50 Algorithm for Brain Tumor Detection
Introduction A tumor that is identified in the brain is [...]
AI-Assisted Early Diagnosis of Alzheimer’s Disease: A Clinical Evaluation of Machine and Deep Learning Models
Introduction Previous studies have demonstrated practical applications of AI in [...]
Advancing Ethical Discourse in Neurotechnology: A Bibliometric Approach to Unveiling Research Frontiers
Introduction In the emerging neuro society, conquests in the global [...]
Alzheimer’s Disease Classification UsingAttention based 3D Convolutional Neural Network and 3 D MRI images
Introduction In the Alzheimer's Association 2019 report,1 the pathological hallmarks [...]
Multimodal Data Fusion in Mental Health: Integrating Behavioral Analytics with AI/ML for Enhanced Detection
Introduction On a global scale, mental health disorders, including anxiety, [...]
Nanoparticles of Herbal Extracts in Treatment of Neurodegenerative Disorders
Introduction Nanotechnology has emerged as a transformative force across multiple [...]
Gene Editing in Neurological Disorders: Role of CRISPR-Cas9 in Targeted Therapies
Introduction One of the major causes of disability and premature [...]
A Scoping Review on the Future of Neurological Disorder Diagnosis: Artificial Intelligence and Machine Learning
Introduction Neurological diseases are the primary cause of disability and [...]
Crosstalk Between mTOR Signaling and Mitophagy Pathways: A Double-Edged Sword in PD
Introduction Parkinson's disease (PD) continues to be recognized as one [...]
Towards Intelligent Neurodiagnostic: A Systematic Assessment of EEG-Based Learning Models for Mental Illness Detection
Introduction Mental disorders, often referred to as mental health issues, [...]
Hybrid Approach for Classification and Segmentation of Brain Tumour
Introduction Brain tumours are considered to be cancerous due to [...]
An Optimized EfficientNet-B0 Framework for Multi-Class Brain Tumour Detection and Classification from MRI Images
Introduction A brain tumour is caused by the rapid growth [...]
Multi-Omics Cancer Subtyping with Robust Correlation, UMAP, and Topological Hypergraph Learning
Introduction Cancer is no longer considered a homogenous disease but [...]
An Explainable AI-Based Ensemble Framework for Brain Tumor MRI Classification and Automated Clinical Reporting Using Deep Learning and LLM Integration
Introduction Cerebral neoplasms are among the most critical and life-threatening [...]
Enhanced Hybrid AI-Based Framework for Improving the Detection and Diagnosis of Alzheimer’s Disease
Introduction AD is a neurological illness that leads to destruction [...]
Improving Diagnostic Accuracy in Brain Tumor Detection using EfficientNetB3 Transfer Learning and Support Vector Machine
Introduction Brain tumors are among the most critical and life-threatening [...]
Integrating AI with Neurogenetics: Applications in Precision Medicine for Neurological Disorders
Introduction In recent years, the integration of artificial intelligence (AI) [...]
An Enhanced Framework Leveraging Pre-Trained CNN Models for Brain Tumor Classification in MRI Scans
Introduction Brain tumors are lumps created when brain cells proliferate [...]
BiP/GRP78 and Unfolded Protein Response in Parkinson’s Disease: Mechanisms, Therapeutic Potential, and Future Directions
Introduction The motor system is the primary target of Parkinson’s [...]
Hybrid Approach for Alzheimer’s Disease Prediction Using MRI: Deep Feature Extraction and Machine Learning Models
Introduction Memory impairment, cognitive decline, and altered behavior are among [...]
Application of Neurogenomics and Molecular Technologies for Alzheimer’s and Parkinson’s Diseases
Introduction Neurogenomics is the intersection of two different branches, neuroscience [...]
Artificial Intelligence as an Emerging Technique in the Contemporary Management of Neurological Disorders
Introduction AI is now necessary in addressing the challenging problems [...]
