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The Expanding Frontier: The Role of Artificial Intelligence in Pediatric Neuroradiology [PDF]

open access: yesChildren
Artificial intelligence (AI) is revolutionarily shaping the entire landscape of medicine and particularly the privileged field of radiology, since it produces a significant amount of data, namely, images.
Alessia Guarnera   +8 more
doaj   +2 more sources

Optimizing GPT-4 Turbo Diagnostic Accuracy in Neuroradiology through Prompt Engineering and Confidence Thresholds

open access: yesDiagnostics
Background and Objectives: Integrating large language models (LLMs) such as GPT-4 Turbo into diagnostic imaging faces a significant challenge, with current misdiagnosis rates ranging from 30–50%. This study evaluates how prompt engineering and confidence
Akihiko Wada   +11 more
doaj   +2 more sources

Twenty classic signs in neuroradiology: A pictorial essay [PDF]

open access: diamondIndian Journal of Radiology and Imaging, 2009
In this article we describe 20 classic signs in neuroradiology and provide illustrations of each; we also discuss the causes for their appearance, their reliability and sensitivity, and the differential diagnoses to be considered when they are ...
Govind B Chavhan, Manohar M Shroff
doaj   +2 more sources

Radiation exposure during neurointerventional procedures in modern angiographic systems: A single center experience [PDF]

open access: yesVojnosanitetski Pregled, 2020
Background/Aim. Interventional neuroradiology procedures expose patients to ionizing radiation. The aim of this study was to assess doses received by patients during interventional neuroradiology procedures and to establish dose range with an estimate of
Lukić Snežana   +5 more
doaj   +1 more source

Artificial Intelligence (AI) in Radiology: A Deep Dive Into ChatGPT 4.0's Accuracy with the American Journal of Neuroradiology's (AJNR) "Case of the Month"

open access: yesCureus, 2023
The advent of artificial intelligence (AI), particularly large language models (LLMs) such as ChatGPT 4.0, holds significant potential in healthcare, specifically in radiology.
P. Suthar   +4 more
semanticscholar   +1 more source

Artificial intelligence tools in clinical neuroradiology: essential medico-legal aspects

open access: yesNeuroradiology, 2023
Commercial software based on artificial intelligence (AI) is entering clinical practice in neuroradiology. Consequently, medico-legal aspects of using Software as a Medical Device (SaMD) become increasingly important. These medico-legal issues warrant an
D. Hedderich   +7 more
semanticscholar   +1 more source

Anesthetic Consideration for Neurointerventional Procedures [PDF]

open access: yesNeurointervention, 2014
Interventional neuroradiology (INR) has been a rapidly expanding and advancing clinical area during the past few decades. As the complexity and diversity of INR procedures increases, the demand for anesthesia also increases. Anesthesia for interventional
Kyung Woon Joung   +7 more
doaj   +1 more source

Neuroradiology training in EU: international survey of 31 countries within UEMS frame

open access: yesInsights into Imaging, 2020
Objective To assess the current framework of interventional and diagnostic neuroradiology in Europe Methods The UEMS (European Union of Medical Specialists) Section of Radiology and the subspecialty UEMS Division of Neuroradiology collected by e-mail a ...
Francesca B. Pizzini   +3 more
doaj   +1 more source

Artificial Intelligence in Neuroradiology: A Review of Current Topics and Competition Challenges

open access: yesDiagnostics, 2023
There is an expanding body of literature that describes the application of deep learning and other machine learning and artificial intelligence methods with potential relevance to neuroradiology practice. In this article, we performed a literature review
Daniel T. Wagner   +12 more
semanticscholar   +1 more source

Detection, Diagnosis and Treatment of Acute Ischemic Stroke: Current and Future Perspectives

open access: yesFrontiers in Medical Technology, 2022
Stroke is one of the leading causes of disability worldwide. Early diagnosis and treatment of stroke are important for better clinical outcome. Rapid and accurate diagnosis of stroke subtypes is critical.
Smita Patil   +6 more
doaj   +1 more source

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