Special Issue "AI Enabled Medical Data Analysis and Processing in Internet of Medical Things (IoMT)"

 Special Issue Editors

Dr. Manoj Diwakar
Guest Editor
Department of Computer Science and Engineering, Graphic Era Deemed to Be University, Dehradun 248002, India
Interests: medical Imaging; medical signal processing and classification; Internet of Medical Things
Dr. Prabhishek Singh
Guest Editor
School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India
Dr. Vinayakumar Ravi
Guest Editor
Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia

Special Issue Information

Dear Colleagues,

An intelligent, networked medical device, known as the IoMT, connects people from all around the world. This enables the monitoring of a significant amount of medical data that were previously unknown. The demand for medical data, particularly visual depictions of health, such as signals and images, has recently increased. IoT applications, including as wearables, prescription tracking systems, remote patient monitoring, and networks for the medical supply chain, are widely used in the medical and healthcare sectors. IoMT aids physicians in providing more accurate diagnoses by maintaining a permanent record of a patient's current state of health. Patients can communicate with their doctors and nurses via smartphone applications that are Internet of Things (IoT)-enabled . They make it possible for medical personnel to treat many patients in a short period of time. Many studies have been conducted in the field of medical image and signal processing as a result of these types of issues. Medical imaging and signal processing have advanced significantly in recent years, but many questions still need to be resolved. Few IoMT apps have looked into the prospect of recording medical images as data and sending them through a wireless sensor network, while most IoMT apps concentrate on power efficiency (WSN). This is due to the fact that a WSN has a strict limit on how much bandwidth can be used at once. We are compiling this collection of current articles that examine the nature of the issue, and the various solutions that people have proposed over time. We want to use a WSN to send images of medical concerns instead of raw sensor data due to the persuasive power of visual proof. In situations such as medical data surveillance, when failing to do so could lead to a significant number of false positives, the significance of this cannot be overstated. To realise the full potential of the Internet of Medical Things (IoMT), research in image processing, wireless sensor networks (WSN), and other areas is required. We are particularly interested in the difficulties of image data transmission over the Internet of Things, hence we are looking for researchers who use IoMT in the field of medical imaging and are eager to address these problems. We hope to collect their creative solutions for overcoming the challenges of delivering visual data across the Internet of Things as part of this collection. This Special Issue will cover topics including medical imaging, the transmission of medical images and signals over a secure WSN, and the use of the Internet of Things to analyse medical activity in real-time.

  • The topics covered in this volume are given below, but this Special Issue is not limited to the mentioned ones: Medical Image/signal processing such as enhancement, restoration, and so on;
  • Machine/deep learning for medical image processing and sensor network in IoMT;
  • Energy efficient algorithms for medical image processing in IoMT;
  • EEG/ECG based anomaly detection and analysis in IoMT;
  • Classification over medical signals such as ECG, EEG, and so on;
  • AI-assisted methodologies in bioimage informatics applications;
  • Intelligent bioimage informatics in health management;
  • Deep learning-based medical image analysis and enhancement;
  • Development in healthcare applications using deep learning;
  • Medical image forensics based on deep learning.

Dr. Manoj Diwakar
Dr. Prabhishek Singh
Dr. Vinayakumar Ravi
Guest Editors

Manuscript Submission Information

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  • EEG
  • ECG
  • medical imaging
  • deep learning and artificial intelligence

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