Research Topic · Peer-Reviewed

Deep Learning

Deep learning is a type of artificial intelligence that uses multiple layers of neurons to analyze data and make decisions. It is capable of learning complex patterns and trends in vast amounts of data and can be used to create applications and solutions in areas such as computer vision, natural language processing,…

Curated from this journal's research 📚 9 peer-reviewed articles cited Cited 28× across the literature 🔖 ISSN 2641-5526 🗓 Reviewed June 2026

Overview

Deep learning is a type of artificial intelligence that uses multiple layers of neurons to analyze data and make decisions. It is capable of learning complex patterns and trends in vast amounts of data and can be used to create applications and solutions in areas such as computer vision, natural language processing, and robotics. Deep learning has become an important tool in many industries as it provides greater accuracy and faster decisions than traditional methods. It has enabled us to create more accurate and precise models for predictive analytics, faster and more effective customer service solutions, and powerful automated systems. Deep learning can also be used to diagnose diseases, improve supply chain management, and power the future of autonomous vehicles.

Research published in this journal

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

How this research is being cited

The 9 articles above have been cited 28 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

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

Editorial oversight

Curated from peer-reviewed research published in Medical Informatics and Decision Making (ISSN 2641-5526).

Journal editorial board
Jennifer Fink · united states Lifeng Peng · New Zealand Prasad Konkalmatt · United States

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