The state of radiology AI: considerations for purchase decisions and current market offerings

Y Tadavarthi, B Vey, E Krupinski, A Prater… - Radiology: Artificial …, 2020 - pubs.rsna.org
Purpose To provide an overview of important factors to consider when purchasing radiology
artificial intelligence (AI) software and current software offerings by type, subspecialty, and …

[PDF][PDF] THE CURRENT STATUS OF ARTIFICIAL INTELLIGENCE (AI) IN RADIOLOGY

Objectives: 1. To analyze the current state of FDA approved AI devices in radiology. 2. To
analyze FDA approved radiological AI algorithms of AI device manufacturers. 3. To evaluate …

[引用][C] The FDA and artificial intelligence in radiology: defining new boundaries

SG Harrington, MK Johnson - Journal of the American College of …, 2019 - jacr.org
With the advent of artificial intelligence (AI), health care providers in all specialties are
bracing for rapid change [1, 2]. The AI health market is projected to grow from $600 million in …

Beyond the Black Box: Avenues to Transparency in Regulating Radiological AI/ML-enabled SaMD via the FDA 510 (k) Pathway

AT Youssef, D Fronk, JN Grimes, L Cheuy, DB Larson - medRxiv, 2024 - medrxiv.org
Background: The majority of AI/M-enabled software as a medical device (SaMD) has been
cleared through the FDA 510 (k) pathway, but with limited transparency on algorithm …

[HTML][HTML] The proof of the pudding: in praise of a culture of real-world validation for medical artificial intelligence

F Cabitza, JD Zeitoun - Annals of translational medicine, 2019 - ncbi.nlm.nih.gov
Artificial Intelligence (AI) in healthcare has become a quasi-normal subject (1). In the last few
years, there has been an impressive increase in the number of publications concerning the …

To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines)

P Omoumi, A Ducarouge, A Tournier, H Harvey… - European …, 2021 - Springer
Artificial intelligence (AI) has made impressive progress over the past few years, including
many applications in medical imaging. Numerous commercial solutions based on AI …

A trustworthy AI reality-check: the lack of transparency of artificial intelligence products in healthcare

J Fehr, B Citro, R Malpani, C Lippert… - Frontiers in Digital …, 2024 - frontiersin.org
Trustworthy medical AI requires transparency about the development and testing of
underlying algorithms to identify biases and communicate potential risks of harm. Abundant …

[PDF][PDF] Re: Guidance For Regulation Of Artificial Intelligence Applications

RT Vought - 2020 - acr.org
The American College of Radiology (ACR)—a professional association representing nearly
40,000 diagnostic radiologists, interventional radiologists, nuclear medicine physicians …

Artificial intelligence in radiology: 100 commercially available products and their scientific evidence

KG van Leeuwen, S Schalekamp, MJCM Rutten… - European …, 2021 - Springer
Objectives Map the current landscape of commercially available artificial intelligence (AI)
software for radiology and review the availability of their scientific evidence. Methods We …

How the FDA regulates AI

HB Harvey, V Gowda - Academic radiology, 2020 - Elsevier
Recent years have seen digital technologies increasingly leveraged to multiply conventional
imaging modalities' diagnostic power. Artificial intelligence (AI) is most prominent among …