2023
DOI: 10.7759/cureus.36111
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Imaging in Healthcare: A Glance at the Present and a Glimpse Into the Future

Abstract: The utilization of artificial intelligence (AI) applications in medical imaging relies heavily on imaging informatics. That is a one-of-a-kind professional who works at the crossroads of clinical radiography, data science, and information technology. Imaging informaticians are becoming crucial players in expanding, assessing, and implementing AI in the medical setting. Teleradiology will continue to be a cost-effective healthcare facility that expands. Vendor neutral archive (VNA) isolates image presentation a… Show more

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Cited by 5 publications
(3 citation statements)
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“…Three-dimensional printing technology can be used to produce physical models of a patient's blood vessels, allowing healthcare providers to better understand the anatomical structure and identify potential issues. This technology can also help healthcare providers to plan complex surgical procedures and optimize treatment outcomes [55,56]. Another significant development in digital vascular imaging is the use of artificial intelligence (AI) and machine learning algorithms.…”
Section: New Developments In Digital Vascular Imagingmentioning
confidence: 99%
“…Three-dimensional printing technology can be used to produce physical models of a patient's blood vessels, allowing healthcare providers to better understand the anatomical structure and identify potential issues. This technology can also help healthcare providers to plan complex surgical procedures and optimize treatment outcomes [55,56]. Another significant development in digital vascular imaging is the use of artificial intelligence (AI) and machine learning algorithms.…”
Section: New Developments In Digital Vascular Imagingmentioning
confidence: 99%
“…The main advantage of such technologies is the structural information they provide about the human organism, which helps with the identification of illnesses, internal body tissue investigation, evaluation, and medical treatment. As a result, these technologies are crucial to both the safety and quality of healthcare for patients [1]. Radiographers' radiation exposure risk is a danger associated with all medical imaging modalities, but it varies greatly depending on the characteristics of the person who is the radiographer.…”
mentioning
confidence: 99%
“…The utilization of AI relies on clinical radiology, data science, and information technology. 13 User-friendly Teleradiology services have been deployed directly through a web browser. 14 This may help to efficiently apply deep learning models and facilitate the application of AI in interpreting medical imaging.…”
mentioning
confidence: 99%