Emergency Imaging has always been a hot topic in the scientific literature, divided between unsolved problems and new challenges.
Scientific revolution has radically transformed imaging techniques thanks to innovations of equipment and the integration of radiomics and artificial intelligence.
The revolution of imaging modalities determines the increase of diagnostic accuracy and the possibility of tissue characterization. These features dramatically change the role of radiologists who can reach a definitive diagnostic with high accuracy moreover they can grade the pathology.
In the past years, the radiologist had only to determine if emergencies conditions required a surgical exploration or not. Nowadays, we are facing the concept of Non-Operative-Management (NOM); actually, many exclusively “surgical” conditions of the past, today, are graded in order to define the proper treatment that, in lower stages, can be initially non operative.
In these scenarios, imaging plays an essential role that does not finish in grading the diseases, but also assumes the role of re-assessing the failure or the success of a NOM.
The result of these processes is that imaging has an increasingly more clinical and decision-support role in the correct management of the patient.
This Research Topic accepts all types of articles in line with the topic.
Keywords:
Emergency Radiology, Radiomics, Artificial Intelligence, Computed Tomography, Magnetic Resonance, Ultrasound
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Emergency Imaging has always been a hot topic in the scientific literature, divided between unsolved problems and new challenges.
Scientific revolution has radically transformed imaging techniques thanks to innovations of equipment and the integration of radiomics and artificial intelligence.
The revolution of imaging modalities determines the increase of diagnostic accuracy and the possibility of tissue characterization. These features dramatically change the role of radiologists who can reach a definitive diagnostic with high accuracy moreover they can grade the pathology.
In the past years, the radiologist had only to determine if emergencies conditions required a surgical exploration or not. Nowadays, we are facing the concept of Non-Operative-Management (NOM); actually, many exclusively “surgical” conditions of the past, today, are graded in order to define the proper treatment that, in lower stages, can be initially non operative.
In these scenarios, imaging plays an essential role that does not finish in grading the diseases, but also assumes the role of re-assessing the failure or the success of a NOM.
The result of these processes is that imaging has an increasingly more clinical and decision-support role in the correct management of the patient.
This Research Topic accepts all types of articles in line with the topic.
Keywords:
Emergency Radiology, Radiomics, Artificial Intelligence, Computed Tomography, Magnetic Resonance, Ultrasound
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.