AI-powered techniques in anatomical imaging: Impacts on veterinary diagnostics and surgery.

Journal: Annals of anatomy = Anatomischer Anzeiger : official organ of the Anatomische Gesellschaft
PMID: 39577814

Abstract

BACKGROUND: Artificial intelligence (AI) is rapidly transforming veterinary diagnostic imaging, offering improved accuracy, speed, and efficiency in analyzing complex anatomical structures. AI-powered systems, including deep learning and convolutional neural networks, show promise in interpreting medical images from various modalities like X-rays, ultrasounds, CT scans, and MRI/mammography.

Authors

  • A S Vickram
    a Industrial Biotechnology Division , School of Biosciences and Technology, VIT University , Tamil Nadu , India.
  • Shofia Saghya Infant
    Department of Biotechnology, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India.
  • Priyanka
    Department of Veterinary Microbiology, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University (GADVASU), Rampura Phul, Bathinda, Punjab.
  • Hitesh Chopra
    Department of Biosciences, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai - 602105, Tamil Nadu, India.

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