The Role of Artificial Intelligence in Modern Medical Diagnosis

Clicks: 1
ID: 312441
2024
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #5 of 6 articles by views in The Physicians’ Review

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Artificial Intelligence (AI) has significantly impacted the field of medicine, especially in medical diagnosis. Machine learning algorithms, particularly deep learning, are revolutionizing how diseases are diagnosed and treated. This paper explores the application of AI in medical diagnostics, focusing on image recognition, predictive analytics, and data processing. We examine the advantages AI brings to clinical settings, such as enhanced accuracy, early detection, and reduced human error. The article also discusses the challenges of integrating AI into healthcare systems and the future prospects of AI-driven medical diagnostics.
Reference Key
imported_1776990199_69eab7f78b643 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Dr. Emily Parker
Journal The Physicians’ Review
Year 2024
DOI
DOI not found
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.