Guest Editors
Dr. Muneer Ahmad
Email: muneer.ahmad@roehampton.ac.uk
Affiliation: Department of Computer Science, University of Roehampton, Roehampton Lane SW15 5PH, London, United Kingdom
Homepage:
Research Interests: Multidisciplinary AI, Machine Learning, Deep Learning, Healthcare applications
Summary
This special issue focuses on the advancements in Machine Learning (ML) and Artificial Intelligence (AI) for pattern detection and predictive analytics in healthcare, an area that is transforming clinical practices, diagnostics, and personalized medicine. With the rise of big data in healthcare, AI-driven approaches are increasingly being used to uncover hidden patterns in patient data, medical images, and genetic information, enabling more accurate predictions and timely interventions. This issue highlights the significance of computational models that integrate AI to improve decision-making, optimize treatment plans, and enhance patient outcomes.
The aim of this special issue is to showcase cutting-edge research on the application of AI and ML in healthcare, particularly in areas like early disease detection, patient outcome prediction, and real-time health monitoring. By emphasizing computational simulations and modeling, the issue will contribute to advancing knowledge at the intersection of healthcare and AI technologies.
Suggested themes include:
· AI for early disease detection and diagnosis.
· Predictive modeling for patient outcomes.
· Machine learning in medical imaging.
· Genomic data analysis for precision medicine.
· Real-time healthcare monitoring with AI.
· Ethical considerations and regulatory challenges in AI healthcare applications.
Keywords
Machine Learning (ML), Artificial Intelligence (AI), Predictive Analytics, Pattern Detection, Healthcare Modeling, Early Disease Detection, Medical Imaging, Precision Medicine, Patient Outcome Prediction, Genomic Data Analysis, Real-time Health Monitoring, AI-driven Diagnostics, Healthcare AI Ethics, Predictive Modeling, Personalized Healthcare
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