Vision:
To become a leading platform for pioneering research in deep technology-driven medical science, fostering innovation in AI, data security, and clinical decision-making that enhances patient care, healthcare efficiency, and safety.

Mission:
Our mission is to advance the integration of deep technologies in healthcare by publishing high-quality, peer-reviewed research. We aim to support the adoption of AI, big data analytics, and other digital health solutions by focusing on critical areas such as predictive analytics, CDSS, telemedicine, and cybersecurity.

We seek to bridge the gap between computational advancements and real-world clinical applications, facilitating the secure and efficient management of healthcare data. The International Journal of DeepTech in Medical Science and Technology is committed to empowering healthcare professionals, researchers, and policymakers with cutting-edge research and innovative solutions for improving healthcare outcomes globally.

 

Core Research Themes:

Sensor-Based Health Data Acquisition, Big Data, Machine Learning, Deep Learning, Artificial Intelligence, Blockchain, Telemedicine, Remote Patient Monitoring, Cybersecurity, Robotics, Electronic Health Records (EHR), Clinical Decision Support Systems (CDSS), Interoperability, Data Science, Advanced Data Analytics, Predictive Modeling, Diagnostic Algorithms, Disease Prediction, Sensor Data Analysis, Spatial Epidemiology, Cognitive Analysis, Privacy Regulations (HIPAA, GDPR), Healthcare Ethics, Cybersecurity Policies, Remote Patient Monitoring Regulations, Policy Frameworks for Telemedicine, AI in Healthcare Governance, Data Privacy and Security

• • Technology – Advancements in sensor-based health data acquisition, AI, machine learning, deep learning, blockchain, robotics, and cybersecurity.
  • Informatics – Applications of EHR, CDSS, interoperability, data science, and advanced analytics in healthcare systems.
  • Diagnostics – AI-driven diagnostic algorithms, predictive modelling, disease prediction, sensor data analysis, and spatial epidemiology.
  • Policy & Review – Healthcare policy, privacy regulations (HIPAA, GDPR), cybersecurity policies, remote patient monitoring regulations, and AI governance frameworks in healthcare.