Breathing Life Into Artificial Intelligence*
Author:
Affiliation:
1. Both authors: Department of Radiology, Emory University, Atlanta, GA.
Publisher
Ovid Technologies (Wolters Kluwer Health)
Reference9 articles.
1. Artificial intelligence in radiology: 100 commercially available products and their scientific evidence.;van Leeuwen;Eur Radiol,2021
2. The state of radiology AI: Considerations for purchase decisions and current market offerings.;Tadavarthi;Radiol Artif Intell,2020
3. Implementation of clinical artificial intelligence in radiology: Who decides and how?;Daye;Radiology,2022
4. Current clinical applications of artificial intelligence in radiology and their best supporting evidence.;Tariq;J Am Coll Radiol,2020
5. Deep Learning-Based Localization and Detection of Malpositioned Endotracheal Tube on Portable Supine Chest Radiographs in Intensive and Emergency Medicine: A Multi-centre Retrospective Study.;Wang;Crit Care Med,2024
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