Research Topic · Peer-Reviewed

Artificial Intelligence Systems in Medical Treatment

Artificial Intelligence (AI) systems in medical treatment can significantly improve healthcare outcomes by making faster, more accurate diagnoses and giving reliable recommendations. AI systems analyze large amounts of data from medical records, providing clinicians with better insight into diagnosis and treatment p…

Curated from this journal's research 📚 2 peer-reviewed articles cited 🔖 ISSN 2768-0207 🗓 Reviewed June 2026

Overview

Artificial Intelligence (AI) systems in medical treatment can significantly improve healthcare outcomes by making faster, more accurate diagnoses and giving reliable recommendations. AI systems analyze large amounts of data from medical records, providing clinicians with better insight into diagnosis and treatment plans. AI is being used in many applications, such as analyzing images for cancer detection and predicting diseases before symptoms appear. AI can also be used to assist in patient communication, providing educational materials and personalized care plans. AI-powered systems have the potential to revolutionize healthcare by improving the accuracy and efficiency of medical decisions, reducing medical costs, and ultimately improving patient outcomes.

Research published in this journal

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

Editorial oversight

Curated from peer-reviewed research published in Big Data Research (ISSN 2768-0207).

Journal editorial board
Professor Shangming Zhou · United Kingdom Professor Hong Lin · United States Dr. Rami H. Al-Rifai · United Arab Emirates

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