Proposals for the use of artificial intelligence in emergency radiology

Jacques, Thibaut; Fournier, Laure; Zins, Marc; Adamsbaum, C.; Chaumoître, Kathia; Feydy, A.; Millet, Ingrid; Montaudon, Michel; Beregi, Jean‐Paul; Bartoli, Jean-Michel; Cart, P.; Masson, Jean-Philippe; Méder, Jean-François; Boyer, L.; Cotten, Anne

doi:10.1016/j.diii.2020.11.003

Cited by 14 publications

(5 citation statements)

References 19 publications

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“…16 Do remember, automation bias may occur and their skills may decline with regularly AI use 24 , especially students who may lose the ability to learn. 10 Sand et al 24 , reported that radiologists should mention the sensitivity and specificity of AI systems in their reports, and the use of AI tools as well as its version should be mentioned in the patient's file. 10…”

Section: How To Work With Aimentioning

confidence: 99%

“…10 Sand et al 24 , reported that radiologists should mention the sensitivity and specificity of AI systems in their reports, and the use of AI tools as well as its version should be mentioned in the patient's file. 10…”

Section: How To Work With Aimentioning

confidence: 99%

“…A recent proposal for the use of AI among French radiologists suggests that AI can be used to assist radiologist decision-making but not replace it. 10 Radiologists use AI to save time and enhance their performance.…”

Section: Ethical and Legal Considerationsmentioning

confidence: 99%

“…External validation by independent cohort and from real-life data from several institutions is advised. 10 Wataganara T. 11 suggested to supervise AI by human experts to minimize the overt sensitivity and false positive results. AI performance needs radiologists to also give feedback.…”

Section: Introductionmentioning

confidence: 99%

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Radiologist’s Role in Artificial Intelligence Era

et al. 2022

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Artificial intelligence (AI) in radiology is recently a rapidly growing subject. Much literature about AI in radiology has been launched within 5 years, as well as commercial AI companies. This phenomenon makes some old radiologists feel worried about losing their jobs, and junior doctors hesitate to choose radiology as a specialty. Currently, implementations of proprietary AIs in clinical practice are limited, with a default setting for a convenient human overwrite. The AIs in clinical imaging largely remain either investigational as part of clinical/pre-clinical trials or being developed for commercialized purposes. Radiologists have an important role in all AI processes from the beginning to the end and vital in training the machine, as well as to validate its added benefit for outcome prediction/prognostication. This article will discuss the importance for radiologists to develop, implement, and monitor AI in clinical imaging, together with some ethical considerations. We would like to encourage radiologists to use AI as an adjunct tool, to save time and have better performance.

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Section: How To Work With Aimentioning

confidence: 99%

Section: How To Work With Aimentioning

confidence: 99%

Section: Ethical and Legal Considerationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Radiologist’s Role in Artificial Intelligence Era

et al. 2022

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“…AI, or artificial intelligence, is the field of computer science that focuses on developing intelligent machines capable of performing tasks that typically require human intelligence (Pepito et al., 2020 ). In healthcare, algorithms and data analysis techniques used by AI help analyse medical data, aid in therapeutic decision‐making, automate management procedures, increase patient tracking and better coordinate treatment process and steps (Jacques et al., 2021 ). AI applications such as machine learning, natural language processing (NLP), computer vision (CV) and statistical prediction are included to improve healthcare outcomes and remodel healthcare delivery (Lee & Yoon, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Advancing nursing practice with artificial intelligence: Enhancing preparedness for the future

Rony,

Parvin,

Ferdousi

2023

Nursing Open

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AimThis article aimed to explore the role of AI in advancing nursing practice, focusing on its impact on readiness for the future.Design and MethodsA position paper, the methodology comprises three key steps. First, a comprehensive literature search using specific keywords in reputable databases was conducted to gather current information on AI in nursing. Second, data extraction and synthesis from selected articles were performed. Finally, a thematic analysis identifies recurring themes to provide insights into AI's impact on future nursing practice.ResultsThe findings highlight the transformative role of AI in advancing nursing practice and preparing nurses for the future, including enhancing nursing practice with AI, preparing nurses for the future (AI education and training) and associated, ethical considerations and challenges. AI‐enabled robotics and telehealth solutions expand the reach of nursing care, improving accessibility of healthcare services and remote monitoring capabilities of patients' health conditions.

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