Role of Artificial Intelligence in Diagnostic Medicine
Clicks: 11
ID: 283690
2024
Article Quality & Performance Metrics
Overall Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
0.0
/100
0 views
0 readers
AI Quality Assessment
Not analyzed
Abstract
Artificial Intelligence (AI) is rapidly emerging as a transformative force in diagnostic medicine, reshaping how healthcare professionals detect and manage diseases. By leveraging sophisticated machine learning and deep learning algorithms, AI can efficiently analyse extensive datasets, including medical images and patient records, with exceptional speed and accuracy. This capability not only improves the precision of diagnoses but also aids in the early identification of conditions such as cancer and heart disease, leading to more tailored treatment strategies. Furthermore, AI tools are proving essential in minimizing human error and optimizing workflows, enabling healthcare providers to devote more time to patient care. As AI continues to be integrated into clinical practice, it promises to enhance patient outcomes while meeting the increasing demands placed on healthcare systems globally.
| Reference Key |
Sahay2024internationalRole
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Rashi Sahay;Ajeet Singh;Muskan Aggarwal; |
| Journal | International Journal of Research and Review in Applied Science, Humanities, and Technology |
| Year | 2024 |
| DOI |
118
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.