Novel Technologies in Radiology: Diagnosis, Prediction and Treatment
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: 20 June 2025 | Viewed by 1000
Special Issue Editors
Interests: Monte Carlo simulation; DNA damage; PET
Special Issue Information
Dear Colleagues,
With its roots traced back to the discovery of X-rays in 1895, radiology has undergone profound advancements, evolving into a cornerstone of modern medicine. Yet, it is still an active field. On the one side, emerging technologies such as artificial intelligence (AI) have provided insights to improve the quality of diagnosis and prediction by radiology. On the other side, the emphasis on precision therapy and personalized medicine brings challenges to radiology, prompting the field to innovate and develop new protocols or technologies. We therefore set up this Special Issue, which aims to collect cutting-edge advancements in technology and protocol design that may significantly enhance our diagnostic and predictive capabilities and eventually benefit the clinic to facilitate researchers.
We are pleased to invite researchers from various fields within this journal’s scope to contribute to this Special Issue or invite relevant experts and colleagues to do so. Both original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Novel design of devices, algorithms, and protocols.
- Radiology and AI.
- Radiology and personalized medicine.
- Interventional radiology.
- Molecular imaging.
- Radiology and predictive medicine.
We look forward to receiving your contributions.
Dr. Youfang Lai
Dr. Yuting Peng
Guest Editors
Manuscript Submission Information
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Keywords
- deep learning
- imaging guidance
- PET
- molecular imaging
- imaging-based biomarkers
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