Critical Analysis of Advances in Radiology and Diagnostic Imaging
Abstract
Radiology and Diagnostic Imaging have reverted over the last few decades, improving diagnostic accuracy, better patient care, and altering the customs of practice. Advanced innovations that entered the health fields, such as artificial intelligence (AI), machine learning, three-dimensional (3D) Imaging, and molecular Imaging, have changed medical practitioners' approach to diagnosing, managing, and tracking diseases. Nevertheless, each of these progresses raises concerns involving access, cost implications, personnel training, and questions of ethics. The present review provides:
- A critical overview of recent developments in radiology and diagnostic Imaging.
- Highlighting specific technologies.
- Their implications for the field and health care systems, as well as the recognized issues should and must be further investigated and resolved to pave the way for effective implementation of these technologies.
The study emphasizes a need for collective effort involving radiologists, other health practitioners, and the government to make and sustain such innovations a success.
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