Research Topic · Peer-Reviewed

Artificial Intelligence Aided Medical Images Diagnostics

Artificial Intelligence (AI) aided medical images diagnostics is a powerful tool for medical professionals in helping to accurately diagnose and treat diseases. AI-aided diagnostics algorithms are trained to recognize patterns in medical images such as MRI, CT, and X-rays that are otherwise difficult to detect with …

📚 0 peer-reviewed articles cited 🔖 ISSN 2768-0207 🗓 Reviewed June 2026

Overview

Artificial Intelligence (AI) aided medical images diagnostics is a powerful tool for medical professionals in helping to accurately diagnose and treat diseases. AI-aided diagnostics algorithms are trained to recognize patterns in medical images such as MRI, CT, and X-rays that are otherwise difficult to detect with the human eye alone. AI algorithms can locate non-cancerous and cancerous tumors, identify organ damage, and detect anomalies in the images that might be missed by a human observer. This technology can save time and money on diagnosis, improve the accuracy of diagnosis, and ultimately lead to better health outcomes for patients. It can be used in a variety of medical specialties such as radiography, oncology, cardiology, and neurology.

Research published in this journal

No peer-reviewed research on this exact topic has been published in Big Data Research yet. Browse the journal →

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.