Research Topic · Peer-Reviewed

Diagnosis Accuracy

of deep learning Deep learning is a branch of artificial intelligence that uses algorithms to recognize patterns, and revolutionizes the way medical diagnosis is conducted. The accuracy of deep learning in medical diagnosis is far superior to traditional methods, as it is capable of recognizing more subtle and comp…

Curated from this journal's research 📚 2 peer-reviewed articles cited Cited 2× across the literature 🗓 Reviewed July 2026

Overview

of deep learning Deep learning is a branch of artificial intelligence that uses algorithms to recognize patterns, and revolutionizes the way medical diagnosis is conducted. The accuracy of deep learning in medical diagnosis is far superior to traditional methods, as it is capable of recognizing more subtle and complex features than humans. It can be used for early detection and improved accuracy in a wide range of medical areas, from cancer detection to cardiovascular diseases, and offers lower costs and improved efficiency in medical diagnosis compared to traditional methods. Deep learning is thus an important tool for enhancing medical diagnosis accuracy, enabling better and more efficient treatment of diseases.

Research published in this journal

2 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 2 articles above have been cited 2 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Oct 2025.

A sample of recent works citing this journal's research on Diagnosis Accuracy, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Etiological Diagnosis.

Journal editorial board
Karandeep Singh Arora · Australia

This page summarises published research for orientation; it is not medical or professional advice.