• Menu
    • ASME
    The American Society of Mechanical Engineers

    Special Issue on Deep Learning-Integrated Embedded Sensors for Real-Time Biomedical Diagnostics

    Journal of Engineering and Science in Medical Diagnostics and Therapy
    Submit Paper

    JESMDT icon
    Deep learning-integrated embedded sensors are revolutionizing biomedical diagnostics by combining intelligent data analytics with compact sensing platforms capable of real-time physiological monitoring. Recent advances in embedded artificial intelligence, edge computing, wearable electronics, and biomedical signal processing have enabled healthcare devices to perform accurate diagnostics directly on resource-constrained platforms, facilitating continuous patient monitoring, early disease detection, and personalized clinical decision-making.

    This Special Issue aims to present the latest advances in intelligent embedded sensing technologies for biomedical diagnostics, highlighting innovations in deep learning algorithms, AI-enabled medical devices, wearable and implantable sensors, edge intelligence, biomedical signal analysis, and secure healthcare systems. It welcomes contributions addressing algorithm optimization, low-power embedded AI, explainable diagnostics, privacy-preserving healthcare, multimodal sensing, and clinical validation. The issue seeks interdisciplinary research that bridges artificial intelligence, embedded systems, biomedical engineering, and healthcare technologies to accelerate the development of scalable, reliable, and intelligent diagnostic solutions for next-generation healthcare applications.

    Topic Areas

    THE SCOPE OF THIS ISSUE INCLUDES BUT IS NOT LIMITED TO:

    • Deep Learning Algorithms for Embedded Biomedical Diagnostic Systems
    • AI-Enabled Wearable and Implantable Medical Devices
    • Edge AI for Real-Time Healthcare Monitoring
    • Intelligent Biomedical Signal and Medical Image Processing
    • Low-Power Embedded AI and Edge Computing Architectures
    • Explainable AI for Clinical Decision Support Systems
    • Secure and Privacy-Preserving Embedded Healthcare Technologies
    • Smart Sensors for Continuous Physiological Monitoring
    • Internet of Medical Things (IoMT) and Intelligent Healthcare Platforms
    • Clinical Applications of AI-Based Embedded Diagnostic Systems.

    Special Issue Publication Dates


    Paper submission deadline: November 15, 2026
    Initial review completed: January 1, 2027
    Publication date: May 2027

    Submission Instructions

    Papers should be submitted electronically to the journal through the ASME Journal Tool. If you already have an account, log in as an author and select Submit Paper. If you do not have an account, you can create one here. 

    Once at the Paper Submittal page, select the Journal of Engineering and Science in Medical Diagnostics and Therapy, and then under the Special Issue field, select Special Issue on Deep Learning-Integrated Embedded Sensors for Real-Time Biomedical Diagnostics.

    Papers received after the deadline or papers not selected for the Special Issue may be accepted for publication in a regular issue.

    Guest Editors

    Dr. Salabat Khan, Qilu Institute of Technology, Jinan, Shandong, China (salabatkhan33@outlook.com)

    Dr. Farhan Amin, Yeungnam University, South Korea (Farhan@ynu.ac.kr)

    Dr. Muhammad Rashid Naeem, Prince Sultan University, Saudi Arabia (mnaeem@psu.edu.sa)