Ai-assisted diagnostics: Enhancing medical imaging accuracy and efficiency
International Journal of Development Research
Ai-assisted diagnostics: Enhancing medical imaging accuracy and efficiency
Received 11th January, 2024; Received in revised form 16th January, 2024; Accepted 23rd February, 2024; Published online 29th March, 2024
Copyright©2024, Shyam C Padaliya et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The transformational potential of artificial intelligence (AI) in the field of medical diagnostics is examined in this research article, with an emphasis on how AI can be used to improve the precision and effectiveness of medical imaging. Incorporating artificial intelligence (AI) algorithms into the interpretation of medical imaging, including MRIs, CT scans, and X-rays, has demonstrated significant potential to support medical practitioners in making diagnoses. AI can give quick and extremely accurate assessments by analyzing large datasets and identifying complex patterns. This lowers the possibility of human error and expedites the diagnosis procedure. This article explores the developments in AI-assisted diagnostics, emphasizing its advantages, drawbacks, and moral implications before illuminating its crucial role in transforming medical procedures and enhancing patient outcomes.
