Focus and Scope

Scope and Topics

SHSJ welcomes original empirical research, comprehensive reviews, system architecture designs, and clinical validation studies. Core areas of interest include, but are not limited to:

  • Artificial Intelligence & Machine Learning in Healthcare: Predictive diagnostic models, medical image processing, natural language processing for electronic health records, and clinical decision support systems.

  • Internet of Medical Things (IoMT) & Wearables: Remote patient monitoring, smart biosensors, wearable device architecture, micro-electromechanical systems (MEMS), and edge computing for health monitoring.

  • Smart Hospital Infrastructure & Telemedicine: Automated clinical workflows, tele-ICU systems, surgical robotics, ambient assisted living, and interoperable health information exchanges.

  • Health Data Privacy, Security & Blockchain: Cryptographic protocols for medical data, decentralized electronic health records (EHR), federated learning, and ethical frameworks for AI in medicine.

  • Biomedical Signal Processing & Intelligent Analytics: Advanced signal processing for ECG, EEG, and EMG, multi-modal data fusion, and real-time physiological analytics.