A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop

Imaging research laboratories are rapidly creating machine learning systems that achieve expert human performance using open-source methods and tools. These artificial intelligence systems are being developed to improve medical image reconstruction, noise reduction, quality assurance, triage, segmen...

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Publicat a:Radiology
Autors principals: Langlotz, Curtis P., Allen, Bibb, Erickson, Bradley J., Kalpathy-Cramer, Jayashree, Bigelow, Keith, Cook, Tessa S., Flanders, Adam E., Lungren, Matthew P., Mendelson, David S., Rudie, Jeffrey D., Wang, Ge, Kandarpa, Krishna
Format: Artigo
Idioma:Inglês
Publicat: Radiological Society of North America 2019
Matèries:
Original Research
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6542624/
https://ncbi.nlm.nih.gov/pubmed/30990384
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/radiol.2019190613
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