Vol. 3 No. 2 (2023): Journal of AI in Healthcare and Medicine
Journal of AI in Healthcare and Medicine

Articles

Dr. Agata Grabowska (Author)
1-20
Adaptive Intrusion Response Systems for Autonomous Vehicle Networks
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Dr. Sheryene Tejeda (Author)
176-185
Decoding the Role of Genetic Biomarkers in Neurodegenerative Diseases - Dysregulations of RNA Binding Protein Aggregations and Molecular Pathophysiologies: Exploring Commonalities Between Atypical Parkinson’s Disease and Small Fiber Neuropathy and Utilizing Artificial Intelligence Applications
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Dr. Yasemin Şahin (Author)
21-41
Adversarial Defense Mechanisms for Reinforcement Learning-based Autonomous Vehicle Control
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Dr. Ahmadreza Rastegar (Author)
42-60
AI-Based Systems for Autonomous Vehicle Driver Monitoring and Alertness
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Dr. Nasir Memon (Author)
61-81
Computational Intelligence for Dynamic Risk Assessment in IoT-connected Autonomous Vehicle Networks
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Dr. Marko Robnik-Šikonja (Author)
82-92
Deep Learning for Computer Vision: Investigating deep learning techniques for computer vision tasks such as object detection, recognition, and segmentation
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Dr. Astrid Lwoga (Author)
93-113
Ethical Considerations in IoT Sensor Deployment for Autonomous Vehicle Safety
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Dr. Ying Liu (Author)
114-134
Explainable AI Techniques for Transparency in Autonomous Vehicle Decision-Making
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Dr. Jorge Castro (Author)
135-153
Privacy-Preserving Data Sharing Mechanisms for Autonomous Vehicle Collaboration
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Dr. Andrés Páez-Gaviria (Author)
155-165
Recurrent Neural Networks - Recent Developments: Investigating recent developments in recurrent neural networks (RNNs) for modeling sequential data and time-series prediction tasks
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Dr. Miguel Baptista (Author)
166-175
Transfer Learning for Cross-domain Adaptation: Investigating transfer learning techniques for adapting machine learning models from one domain to another
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Dr. Anke Helsloot (Author)
186-200
AI-Based Solutions for Automating Radiology Workflow
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Dr. Sun-Young Park (Author)
201-218
AI-Driven Platforms for Enhancing Chronic Disease Management: Utilizing Machine Learning to Improve Disease Tracking, Patient Education, and Care Coordination
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Dr. Marko Bohanec (Author)
201-218
AI-Driven Systems for Optimizing Inpatient Care Management
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Dr. Léa Martinez (Author)
237-248
Early Detection of Alzheimer’s Disease Biomarkers Through Advanced Machine Learning Models: Develops machine learning models to identify early biomarkers of Alzheimer's disease from multimodal data sources, enabling timely diagnosis and intervention
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Dr. Natalia Popova (Author)
249-261
IoT-enabled Smart Rehabilitation Technologies for Neurological Rehabilitation: Designs IoT-based rehabilitation technologies tailored for neurological rehabilitation, providing personalized therapy interventions and monitoring progress for patients with neurological conditions
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Dr. Elena Ferrari (Author)
262-277
Machine Learning Approaches for Enhancing Health Outcomes in Pediatrics: AI Models for Personalized Treatment, Monitoring, and Early Intervention in Children
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