Artificial Intelligence and Big Data Processing in Healthcare
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 April 2025 | Viewed by 149
Special Issue Editors
Interests: machine learning; deep learning; tiny machine learning; health informatics; natural language processing; large language models; cyber security
Interests: machine learning; biostatistics; health informatics
Interests: interpretable deep learning; machine learning; health informatics; bio-informatics
Interests: cyber–physical systems; risk/reliability analysis; healthcare AI; complex systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The convergence of Artificial Intelligence (AI) and Big Data is transforming healthcare, offering unprecedented opportunities to enhance patient care, improve diagnostic accuracy, and optimize healthcare systems. As these technologies rapidly advance, their potential to transform healthcare has never been greater.
This Special Issue on "Artificial Intelligence and Big Data Processing in Healthcare" invites researchers, practitioners, and experts to share their latest findings and innovations that address the critical challenges in healthcare today. We seek high-quality, novel research demonstrating the latest advancements and practical applications, pushing the boundaries of what is possible with these transformative technologies.
The topics for this Special Issue cover a broad spectrum of cutting-edge applications. We explore how Large Language Models (LLMs) enhance clinical decision making, the emerging role of Generative AI in healthcare, and the integration of Tiny Machine Learning (TinyML) on edge devices. This issue also highlights human-centered AI that carefully considers ethical implications and the contributions of Machine Learning and Deep Learning in advancing precision medicine, medical image analysis, and using natural language processing to extract critical insights from clinical data. The transformative impact of Big Data Analytics on healthcare delivery is another key focus.
This Special Issue aims to supplement the existing literature with fresh insights and innovative solutions by addressing these diverse yet interconnected topics. We invite you to contribute your research and join this important dialogue, helping shape healthcare's future through innovation and collaboration. Topics of interest for submission include, but are not limited to, the following:
- Applications of Large Language Models (LLMs) in Healthcare;
- Generative AI in Healthcare;
- AI-Driven Smart Health Monitoring and Diagnostic Systems;
- Edge and Tiny Machine Learning (TinyML) for Next-Generation Healthcare;
- Human-Centred AI in Healthcare: Balancing Innovation and Ethics;
- Machine Learning and Deep Learning in Healthcare;
- Deep Learning for Precision Medicine;
- AI in Medical Image Analysis;
- Natural Language Processing in Healthcare;
- Big Data Analytics in Healthcare;
Dr. Mohammad Masum
Dr. Mohammed Chowdhury
Dr. Sai Chandra Kosaraju
Dr. Saptarshi Sengupta
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence in healthcare
- big data analytics
- machine learning
- precision medicine
- natural language processing
- deep learning
- tiny machine learning (TinyML)
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