[引用][C] AI and ML in radiology: making progress
AG Rockall, SC Shelmerdine… - Clinical Radiology, 2023 - clinicalradiologyonline.net
Artificial intelligence (AI) in radiology has seen a rapid expansion of its literature in recent
years. Between 2000 and 2018, there has been global exponential growth of AI research …
years. Between 2000 and 2018, there has been global exponential growth of AI research …
[PDF][PDF] Intelligence-Based Medicine
C Martin, K DeStefano, H Haran, S Zink, J Dai… - researchgate.net
Artificial intelligence (AI) has an enorgmoust potential to improve radiologic diagnostics,
efficiency, and consistency, through implementation of evidence-based regulations is crucial …
efficiency, and consistency, through implementation of evidence-based regulations is crucial …
[HTML][HTML] The ethical considerations including inclusion and biases, data protection, and proper implementation among AI in radiology and potential implications
C Martin, K DeStefano, H Haran, S Zink, J Dai… - Intelligence-Based …, 2022 - Elsevier
Artificial intelligence (AI) has an enorgmoust potential to improve radiologic diagnostics,
efficiency, and consistency, through implementation of evidence-based regulations is crucial …
efficiency, and consistency, through implementation of evidence-based regulations is crucial …
2020 ACR Data Science Institute artificial intelligence survey
B Allen, S Agarwal, L Coombs, C Wald… - Journal of the American …, 2021 - Elsevier
Abstract Purpose The ACR Data Science Institute conducted its first annual survey of ACR
members to understand how radiologists are using artificial intelligence (AI) in clinical …
members to understand how radiologists are using artificial intelligence (AI) in clinical …
Characterizing the clinical adoption of medical AI devices through US insurance claims
There are now over 500 medical artificial intelligence (AI) devices that are approved by the
US Food and Drug Administration. However, little is known about where and how often …
US Food and Drug Administration. However, little is known about where and how often …
POSB290 Artificial Intelligence in Medical Diagnostics: A Review of NICE MedTech Innovation Briefings
D Foster, P Ioannou, I Willits - Value in Health, 2022 - valueinhealthjournal.com
Objectives Artificial intelligence (AI) used in medical diagnostics is growing rapidly.
Diagnostic AI can facilitate improved triage and diagnosis, prioritise caseload, monitor …
Diagnostic AI can facilitate improved triage and diagnosis, prioritise caseload, monitor …
Developing, purchasing, implementing and monitoring AI tools in radiology: practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & …
Artificial Intelligence (AI) carries the potential for unprecedented disruption in radiology, with
possible positive and negative consequences. The integration of AI in radiology holds the …
possible positive and negative consequences. The integration of AI in radiology holds the …
[HTML][HTML] The Economics of Artificial Intelligence: Focusing on the Metrics
M Kasireddy, RK Lee - Applied Radiology, 2022 - appliedradiology.com
In the 20th century, medical imaging and artificial intelligence (AI) developed in parallel.
They converged at the turn of the century with US Food and Drug Administration (FDA) …
They converged at the turn of the century with US Food and Drug Administration (FDA) …
[HTML][HTML] Meta-research on reporting guidelines for artificial intelligence: are authors and reviewers encouraged enough in radiology, nuclear medicine, and medical …
B Koçak, A Keleş, F Köse - Diagn Interv Radiol. https://doi. org/10, 2024 - dirjournal.org
PURPOSE To determine how radiology, nuclear medicine, and medical imaging journals
encourage and mandate the use of reporting guidelines for artificial intelligence (AI) in their …
encourage and mandate the use of reporting guidelines for artificial intelligence (AI) in their …
Clinical Explainability Failure (CEF) & Explainability Failure Ratio (EFR)–changing the way we validate classification algorithms
VK Venugopal, R Takhar, S Gupta… - Journal of Medical Systems, 2022 - Springer
Abstract Adoption of Artificial Intelligence (AI) algorithms into the clinical realm will depend
on their inherent trustworthiness, which is built not only by robust validation studies but is …
on their inherent trustworthiness, which is built not only by robust validation studies but is …