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Artificial intelligence in medicine.

Pavel Hamet1, Johanne Tremblay1

  • 1Centre de recherche, Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec, Canada, H2X 0A9; Department of Medicine, Université de Montréal, Montréal, Québec, Canada, H3T 3J7.

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Summary
This summary is machine-generated.

Artificial Intelligence (AI) in medicine revolutionizes healthcare through virtual and physical applications. This technology, including robotic surgery and nanomedicine, offers advanced diagnostics and treatment but requires ethical and utility considerations.

Keywords:
Artificial intelligenceAvatarsFuture of medicineRobots

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Area of Science:

  • Medicine
  • Computer Science
  • Robotics
  • Bioinformatics

Background:

  • Artificial Intelligence (AI) involves computers modeling intelligent behavior with minimal human input.
  • The field's origins trace back to early robotics and the formal establishment of AI in 1956.
  • Leonardo Da Vinci's historical sketches of robots foreshadowed modern robotic-assisted surgery.

Observation:

  • AI in medicine encompasses informatics, deep learning, health management systems, and physician decision support (virtual branch).
  • The physical branch includes robots for patient assistance and surgical procedures, as well as nanorobots for targeted drug delivery.

Findings:

  • AI applications in medicine span diagnostics, statistics, human biology, and
  • omics
  • fields.
  • Robotic-assisted surgery, inspired by Da Vinci, is a key innovation in urologic and gynecologic procedures.
  • Nanorobots represent a novel approach to drug delivery systems.

Implications:

  • The integration of AI in medicine necessitates further examination of societal and ethical implications.
  • Demonstrating medical utility and economic value is crucial for widespread AI adoption in healthcare.
  • Developing interdisciplinary strategies is essential for advancing AI applications in medicine.