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01.07.2021 | Vascular and Interventional Radiology

Interventional Radiology ex-machina: impact of Artificial Intelligence on practice

verfasst von: Martina Gurgitano, Salvatore Alessio Angileri, Giovanni Maria Rodà, Alessandro Liguori, Marco Pandolfi, Anna Maria Ierardi, Bradford J. Wood, Gianpaolo Carrafiello

Erschienen in: La radiologia medica | Ausgabe 7/2021

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Abstract

Artificial intelligence (AI) is a branch of Informatics that uses algorithms to tirelessly process data, understand its meaning and provide the desired outcome, continuously redefining its logic. AI was mainly introduced via artificial neural networks, developed in the early 1950s, and with its evolution into "computational learning models." Machine Learning analyzes and extracts features in larger data after exposure to examples; Deep Learning uses neural networks in order to extract meaningful patterns from imaging data, even deciphering that which would otherwise be beyond human perception. Thus, AI has the potential to revolutionize the healthcare systems and clinical practice of doctors all over the world. This is especially true for radiologists, who are integral to diagnostic medicine, helping to customize treatments and triage resources with maximum effectiveness. Related in spirit to Artificial intelligence are Augmented Reality, mixed reality, or Virtual Reality, which are able to enhance accuracy of minimally invasive treatments in image guided therapies by Interventional Radiologists. The potential applications of AI in IR go beyond computer vision and diagnosis, to include screening and modeling of patient selection, predictive tools for treatment planning and navigation, and training tools. Although no new technology is widely embraced, AI may provide opportunities to enhance radiology service and improve patient care, if studied, validated, and applied appropriately.

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Titel: Interventional Radiology ex-machina: impact of Artificial Intelligence on practice
verfasst von: Martina Gurgitano
Salvatore Alessio Angileri
Giovanni Maria Rodà
Alessandro Liguori
Marco Pandolfi
Anna Maria Ierardi
Bradford J. Wood
Gianpaolo Carrafiello
Publikationsdatum: 01.07.2021
Verlag: Springer Milan
Erschienen in: La radiologia medica / Ausgabe 7/2021
Print ISSN: 0033-8362
Elektronische ISSN: 1826-6983
DOI: https://doi.org/10.1007/s11547-021-01351-x

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Interventional Radiology ex-machina: impact of Artificial Intelligence on practice

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Neu im Fachgebiet Radiologie

Fünf Dinge, die im Kindernotfall besser zu unterlassen sind

Wie toxische Männlichkeit der Gesundheit von Männern schadet

Studie bestätigt Potenzial von KI in der Radiologie

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