"Revolutionizing Diagnostic Imaging: The Role of Artificial Intelligence in Modern Radiology"

Authors

  • Divya Sai Jaladi Senior Lead Application Developer, SCDMV, 10311 Wilson Boulevard, Blythewood, SC 29016, UNITED STATES
  • Sandeep Vutla Assistant Vice President, Senior-Data Engineer, Chubb, 202 Halls Mill Rd, Whitehouse Station, NJ 08889, UNITED STATES

Keywords:

Artificial Intelligence, Radiology, Deep Learning, Lesion, Pulmonary, Abdomen, Pelvis

Abstract

he interest in artificial intelligence (AI) has expanded inside radiology in the previous few years principally because of eminent triumphs of profound learning. With the advances brought by profound knowledge, AI can perceive and limit complex examples from various radiological imaging modalities, a significant number of which even accomplish practically identical execution to human dynamic in late applications. In this part, we survey a few AI applications in radiology for various life systems: chest, mid-region, pelvis, and broad sore discovery/recognizable proof that isn't restricted to explicit life structures. Joining with our own examination experience of AI in medication, we expound how AI can improve information revelation, comprehension, and dynamic in radiology instead of supplanting the radiologist.

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Published

2023-12-25