Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Editorial
. 2023 Oct;309(1):e231114.
doi: 10.1148/radiol.231114.

The Future of AI and Informatics in Radiology: 10 Predictions

Curtis P Langlotz  1
Affiliations
Editorial

The Future of AI and Informatics in Radiology: 10 Predictions

Curtis P Langlotz. Radiology. 2023 Oct.
No abstract available

PubMed Disclaimer

Conflict of interest statement

Disclosures of conflicts of interest: C.P.L. Grants from Bunkerhill Health, Carestream, CARPL.ai, Clairity, GE HealthCare, Google Cloud, IBM, IDEXX, Hospital Israelita Albert Einstein, Kheiron, Lambda, Lunit, Nightingale Open Science, Nines, Philips, Siemens Healthineers, Subtle Medical, VinBrain, Whiterabbit.ai, Lowenstein Foundation, Gordon and Betty Moore Foundation, and Paustenbach Fund; business consulting fees from Sixth Street and Gilmartin Capital; speaking honorarium from Mayo Clinic; joint patent with GE HealthCare; chair of the board for the RSNA; board member for Bunkerhill Health; stockholder in Bunkerhill Health; option holder in Whiterabbit.ai; advisor and option holder in GalileoCDS, Sirona Medical, Adra, and Kheiron; computing credits and services from Microsoft, Stability.ai, and Google.

Figures

Diagram shows the architecture of a radiology virtual assistant, incorporating two artificial intelligence capabilities: computer vision, which detects findings in images, and natural language generation, which produces text from a prompt. The letters represent the matrix mathematics that are performed within a neural network. (The latest neural network architectures, such as the transformers used by large language models, differ significantly from the abstract schematics shown here.) The system would present the radiologist with a draft report for editing and signature.
Diagram shows the architecture of a radiology virtual assistant, incorporating two artificial intelligence capabilities: computer vision, which detects findings in images, and natural language generation, which produces text from a prompt. The letters represent the matrix mathematics that are performed within a neural network. (The latest neural network architectures, such as the transformers used by large language models, differ significantly from the abstract schematics shown here.) The system would present the radiologist with a draft report for editing and signature.
See this image and copyright information in PMC

References

    1. Schwartz WB . Medicine and the computer . The promise and problems of change . N Engl J Med 1970. ; 283 ( 23 ): 1257 – 1264 . - PubMed
    1. Center for Devices and Radiological Health . Artificial Intelligence and Machine Learning (AI/ML)-Enabled Medical Devices. U.S . Food and Drug Administration . https://www.fda.gov/medical-devices/software-medical-device-samd/artific.... Accessed April 15, 2023 .
    1. Tiu E , Talius E , Patel P , Langlotz CP , Ng AY , Rajpurkar P . Expert-level detection of pathologies from unannotated chest x-ray images via self-supervised learning . Nat Biomed Eng 2022. ; 6 ( 12 ): 1399 – 1406 . - PMC - PubMed
    1. Berlin L . Accuracy of diagnostic procedures: has it improved over the past five decades? AJR Am J Roentgenol 2007. ; 188 ( 5 ): 1173 – 1178 . - PubMed
    1. Jamadar DA , Carlos R , Caoili EM , et al. . Estimating the effects of informal radiology resident teaching on radiologist productivity: what is the cost of teaching? Acad Radiol 2005. ; 12 ( 1 ): 123 – 128 . - PubMed

Publication types

LinkOut - more resources