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Brain Imaging01:14

Brain Imaging

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
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Area of Science:

  • Neurology
  • Medical Technology
  • Artificial Intelligence

Background:

  • The past decade has seen significant growth in AI and ML medical devices for neurology.
  • These technologies are increasingly augmenting clinical workflows and patient care delivery.

Purpose of the Study:

  • To review core machine learning techniques used in medical devices.
  • To describe AI-enabled medical devices authorized by the FDA as of December 31, 2024.
  • To analyze trends in device integration and implications for future neurologic care.

Main Methods:

  • Introduction to fundamental machine learning techniques.
  • Analysis of 147 AI-enabled medical devices with FDA authorization.
  • Examination of integration trends and human-machine interaction models.

Main Results:

  • 147 AI-enabled medical devices have received FDA authorization for neurology and neuroradiology indications.
  • Key trends in clinical integration are identified.
  • Emerging human-machine interaction models are highlighted.

Conclusions:

  • AI and ML devices are reshaping neurologic care delivery.
  • Understanding these technologies and their integration is crucial for future practice.
  • Future neurologic care will likely involve advanced human-machine collaboration.