Deep Learning, IoT, and Blockchain in Medical Data Processing

Submission Deadline: 01 February 2024 Submit to Special Issue

Guest Editors

Prof. Erfan Babaee Tirkolaee, Istinye University, Turkey
Prof. Ramin Ranjbarzadeh, Dublin City University, Ireland
Prof. Arunabha Mohan Roy, University of Michigan, USA


Deep Learning (DL), Internet of Things (IoT), and Blockchain technologies have emerged as transformative tools in various domains, including healthcare systems and medicine. DL tools, computational intelligence and optimization techniques have shown tremendous potential in medical data analysis, including image classification, diagnosis, and prediction. This proposal aims to explore the synergistic integration of these technologies in the context of medical data processing. By leveraging the capabilities of DL, IoT, and Blockchain, we can enhance the security, efficiency, and accuracy of medical data management and analysis, ultimately leading to improved patient care and outcomes.


Many attempts have been made so far that employ different techniques including, inter alia, Machine Learning (ML), neural networks, optimization, computational intelligence and human–machine interface. This special issue will mainly focus on the application of DL algorithms and optimization in processing and extracting valuable insights from medical data. We seek for topics such as DL-based image segmentation, disease diagnosis, and predictive modeling, showcasing the advancements made in these areas.


IoT has revolutionized the healthcare industry by enabling the connection of medical devices, wearables, and sensors to create a network of interconnected healthcare systems. This special issue will delve into the utilization of IoT in medical data processing. Topics of interest may include real-time patient monitoring, remote healthcare services, data collection from IoT devices, and the integration of IoT-generated data with DL models for improved diagnostics and personalized healthcare.


Blockchain technology offers a decentralized and immutable ledger that ensures transparency, security, and privacy in data management. In the context of medical data processing, Blockchain can provide secure and auditable storage of sensitive patient data, facilitate interoperability among healthcare systems, and enable patient-controlled data sharing. In this special issue, we will explore the applications of Blockchain in healthcare, including topics such as secure data sharing, consent management, clinical trials, and medical research.

The combination of DL, IoT, and Blockchain holds great potential for enhancing medical data processing. This special issue will also emphasize the integration of these technologies and explore innovative approaches and frameworks that leverage their complementary strengths. We encourage submissions that highlight successful use cases, novel methodologies, and interdisciplinary research bridging DL, IoT, and Blockchain in the context of medical data processing.

We invite researchers, practitioners, and industry experts to submit original research papers, case studies, and review articles related to the intersection of DL, IoT, and Blockchain in medical data processing. We encourage submissions that address challenges, propose novel methodologies, showcase practical applications, and explore the ethical considerations associated with these technologies. 


Potential topics include but are not limited to the following:

Computer-Assisted Diagnosis/Surgery

Data Mining and Big Data Analytics

Medical Image Processing

Natural Language Processing

Tracking and Preventing Diseases

Heart Failure Detection

Brain-Machine Interface

Artificial Neural Networks

DL Algorithms

Blockchain and IoT Applications

Automation by AI, ML and Neuroscience

Operations Research (OR)-based Analytics

Medical Decision-Making Techniques

Cancer Treatment Planning

Automation by Optimization and Control


Deep Learning, eHealth, Internet of Things, Bloinformatics, Computer vision

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