Diagnostic Assessment of Clinical Challenges in the Era of High Technology
Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 1539
Interests: computed tomography; magnetic resonance; cancer imaging; radiology; abdominal radiography; magnetic resonance imaging; diagnostic radiology; trauma; chest imaging; cardiac CT
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Since its first applications in medicine, diagnostic imaging has contributed to providing fundamental elements to support clinical diagnosis. Despite this, to date, there are still many unresolved clinical challenges in which imaging may not provide adequate support. In recent years, new CT and MR scanners and new postprocessing software have reached such high levels of technology and performance as to promise a revolution in the diagnostic field and in the support it provides to clinical challenges. For example, less time-consuming and more dose-saving CT scanners made it possible to significantly shorten diagnostic times in acute settings by supporting the high index of the clinical suspicion of a life-threatening disease requiring timely confirmation by a radiologist. However, clinical challenges may concern elective cases in which even in the absence of life-threatening conditions, the diagnosis is uncertain, as, for example, in the evaluation of oncological therapies supported, to date, by advanced imaging techniques. Finally, it is not possible to discuss the technological evolution applied to diagnostic imaging without remembering the acceleration of the integration of artificial intelligence, radiomics, and deep learning in diagnostic imaging and how these tools have become a hot topic in the post-pandemic era.
Dr. Giacomo Sica
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- oncological imaging
- artificial intelligence
- vascular imaging