Intelligent Telehealth Monitoring with Man-Computer Interface

Submission Deadline: 25 January 2023 (closed) Submit to Special Issue

Guest Editors

Dr. Muhammad Attique Khan, HITEC University, Pakistan
Dr. Shuihua Wang, University of Leicester, UK
Dr. Syed Ahmad Chan Bukhari, St. John's University, USA

Summary

Recently, the computerized scheme supported disease diagnosis is common in hospitals. These methods are employed for; disease screening, pre/post-processing, knowledge extraction from the data, disease prediction, treatment planning, execution, and recovery monitoring. The advanced disease diagnosis involves employing advanced procedures, like the body-area network to collect the information, multi-sensor and multi-data collection during the screening, data assessment using modern computer algorithms, and Artificial Intelligence (AI) schemes for efficient data sharing, storage, and retrieval with modern methods.

In the current era, advanced data handling methods, like big data processing, medical cloud-supported data handling, and blockchain, are commonly adopted in modern hospitals to support effective data processing and disease handling. Further, the recently developed man-computer interface (MCI) schemes will support virtual-reality approaches, telehealth monitoring and patient care, internet of things-based data handling and treatment, and precision medicine to ensure the appropriate treatment for the patient. Integrating these modern schemes will create an efficient environment in which the patient-computer and computer-doctor integration is effectively utilized to implement real-time patient monitoring from a remote location.

This special issue focuses on collecting the current research works related to medical data assessment with the man-computer interface from the scientists and researchers. This special issue also welcomes real clinical works and review works from the doctors.


Keywords

• Skin cancer diagnosis using big data
• Block chain technology for skin cancer diagnosis
• Medical cloud support system for skin cancer in dermoscopic images
• Brain tumor classification using big data and medical cloud
• Breast cancer diagnosis based on Big data and block chain
• Gastrointestinal diseases 
• Covid19 classification using Big Data
• IoT and block chain technology for medical cancer diagnosis
• MCI based breast cancer diagnosis and recognition
• Skin cancer diagnosis using MCI
• MCI based radiologists cancer diagnosis
• MCI based brain tumor diagnosis and classification

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