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Artificial intelligence and deep learning - Radiology's next frontier?

Ray Cody Mayo1, Jessica Leung1

  • 1The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 1350, Houston, TX 77030, United States.

Clinical Imaging
|November 22, 2017
PubMed
Summary
This summary is machine-generated.

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Computers have advanced radiology from administrative tasks to image interpretation. Radiologists should embrace new technologies for improved diagnostic capabilities and future progress in medical imaging.

Area of Science:

  • Medical Imaging and Radiology
  • Health Informatics
  • Artificial Intelligence in Medicine

Background:

  • Computers have evolved significantly within radiology departments.
  • Initial applications focused on administrative tasks, image acquisition, storage, and reporting.
  • Early computer use also supported preliminary diagnostic efforts.

Purpose of the Study:

  • To trace the historical integration of computers in radiology.
  • To identify current limitations and future potential in computer-assisted interpretation.
  • To encourage radiologists to adopt emerging technologies.

Main Methods:

  • Historical review of computer applications in radiology.
  • Analysis of progress in non-interpretive versus interpretive tasks.
Keywords:
Artificial intelligenceBig dataComputer aided detectionDeep learningNeural networks

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  • Discussion of potential future technological advancements.
  • Main Results:

    • Computers have demonstrated substantial progress in non-interpretive radiology functions.
    • There is a growing expectation for similar advancements in diagnostic interpretation.
    • New technologies are poised to drive the next phase of progress.

    Conclusions:

    • Radiology has a history of successful computer integration, particularly in non-interpretive areas.
    • Significant opportunities exist for enhancing diagnostic interpretation through technology.
    • Early adoption of new technological frontiers by radiologists is recommended for future advancements.