[PDF][PDF] The Compounded Value of AI Beyond Radiology

L Heine - cdn.agilitycms.com
In healthcare, doctors help people; artificial intelligence (AI) helps doctors help people. It
may sound trite, but it is important to adopt this philosophy as a guiding principle in product …

A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) …

S Vahdati, B Khosravi, E Mahmoudi, K Zhang… - Journal of Imaging …, 2024 - Springer
In recent years, the role of Artificial Intelligence (AI) in medical imaging has become
increasingly prominent, with the majority of AI applications approved by the FDA being in …

Efficiency, accuracy, and health professional's perspectives regarding artificial intelligence in radiology practice: A scoping review

C He, W Liu, J Xu, Y Huang, Z Dong, Y Wu… - …, 2024 - Wiley Online Library
In this scoping review, we evaluated the performance of artificial intelligence (AI) in clinical
radiology practice and examined health professionals' perspectives regarding AI use in …

Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts

MG Linguraru, S Bakas, M Aboian… - Radiology: Artificial …, 2024 - pubs.rsna.org
“Just Accepted” papers have undergone full peer review and have been accepted for
publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout …

Advancing medical imaging research through standardization: The path to rapid development, rigorous validation, and robust reproducibility

K Jeon, WY Park, CE Kahn Jr, P Nagy… - Investigative …, 2023 - journals.lww.com
Artificial intelligence (AI) has made significant advances in radiology. Nonetheless,
challenges in AI development, validation, and reproducibility persist, primarily due to the …

Artificial intelligence as a medical device in radiology: ethical and regulatory issues in Europe and the United States

F Pesapane, C Volonté, M Codari, F Sardanelli - Insights into imaging, 2018 - Springer
Worldwide interest in artificial intelligence (AI) applications is growing rapidly. In medicine,
devices based on machine/deep learning have proliferated, especially for image analysis …

[PDF][PDF] Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects

B Koçak, A Ponsiglione, A Stanzione… - Diagn Interv …, 2024 - researchgate.net
Although artificial intelligence (AI) methods hold promise for medical imaging-based
prediction tasks, their integration into medical practice may present a double-edged sword …

Marketing and US Food and Drug Administration clearance of artificial intelligence and machine learning enabled software in and as medical devices: a systematic …

P Clark, J Kim, Y Aphinyanaphongs - JAMA Network Open, 2023 - jamanetwork.com
Importance The marketing of health care devices enabled for use with artificial intelligence
(AI) or machine learning (ML) is regulated in the US by the US Food and Drug …

Regulatory frameworks for development and evaluation of artificial intelligence–based diagnostic imaging algorithms: summary and recommendations

DB Larson, H Harvey, DL Rubin, N Irani… - Journal of the American …, 2021 - Elsevier
Although artificial intelligence (AI)-based algorithms for diagnosis hold promise for
improving care, their safety and effectiveness must be ensured to facilitate wide adoption …

Randomized controlled trials evaluating AI in clinical practice: a scoping evaluation

R Han, JN Acosta, Z Shakeri, J Ioannidis, E Topol… - medRxiv, 2023 - medrxiv.org
Background: Artificial intelligence (AI) has emerged as a promising tool in healthcare, with
numerous studies indicating its potential to perform as well or better than clinicians …