Advanced Image and Video Processing Technology for Healthcare
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 90
Special Issue Editors
Interests: artificial intelligence (AI) and machine learning (ML); electronic health records (EHRs) and clinical decision support (CDS); health information technology and mHealth; usability; HIV/AIDS; symptom care; substance use
Special Issues, Collections and Topics in MDPI journals
Interests: computational modeling; RNA viruses modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid advancement of technology has led to an exponential increase in the volume of medical image and video data being generated. These vast datasets hold immense potential to transform healthcare, enabling advancements in diagnostics, treatment planning, remote monitoring, and surgical guidance. Effectively analyzing and utilizing this information requires innovative image and video processing techniques.
This Special Issue aims to highlight the latest research, methodologies, and applications in image and video processing that enhance healthcare delivery, medical diagnostics, and patient care. It provides a platform for researchers, engineers, and healthcare professionals to share cutting-edge innovations that advance medical imaging and video analysis, ultimately improving patient outcomes and advancing healthcare efficiency.
We invite original research and review articles covering a wide range of topics, including, but not limited to, the following:
- Medical Image Processing: AI-driven analysis of MRI, CT, ultrasound, X-ray, and histopathological images.
- Video Processing in Healthcare: Real-time surgical video analysis, endoscopic video enhancement, and remote patient monitoring.
- Machine Learning and Deep Learning in Medical Imaging: AI-based techniques for image segmentation, classification, and anomaly detection.
- Augmented Reality (AR) and Virtual Reality (VR): Applications in medical training, surgery planning, and rehabilitation.
- Computer-Aided Diagnosis (CAD): Automated systems for disease detection and prognosis.
- Telehealth and Remote Sensing: Image and video processing for telehealth and wearable health monitoring devices.
- Mobile Health (mHealth) Applications in Medical Imaging: AI-powered diagnostic tools, real-time imaging analysis, and mobile-based solutions.
- Data Security and Privacy in Medical Imaging: Secure transmission, storage, and processing of medical images and videos.
- Integration with Electronic Health Records (EHRs): Enhancing patient data management through advanced imaging techniques.
- Multimodal Foundation Models for Image and Video Understanding: Improving the model’s capability in video understanding through multi-modalities and foundation models.
Dr. Hwayoung Cho
Dr. Rui Yin
Guest Editors
Manuscript Submission Information
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Keywords
- medical image processing
- video processing in healthcare
- AI and machine learning in medical imaging
- multimodal foundation model
- augmented reality
- virtual reality
- computer-aided diagnosis
- telehealth
- mobile health applications
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