• The article is about how a new artificial intelligence system can detect and diagnose lung cancer in its early stages with greater accuracy than human pathologists.
• The AI system was tested on 11,000 images of lung tissue samples from 101 patients to evaluate its performance.
• Results showed that the AI system was able to accurately identify and diagnose lung cancer with an accuracy rate of 92%.
New AI System for Lung Cancer Diagnosis
A new artificial intelligence (AI) system has been developed which could help improve the detection and diagnosis of lung cancer in its early stages. This technology has been demonstrated to be more accurate at diagnosing the disease than human pathologists.
Testing the AI System
The AI system was tested using 11,000 images of lung tissue samples from 101 patients across three different hospitals in China. Each image was evaluated by two experienced pathologists and one experienced radiologist.
Accurate Diagnosis Rates
Results from the study showed that the AI system was able to accurately identify and diagnose lung cancer with an accuracy rate of 92%, outperforming both the two pathologists (84% accuracy) and the radiologist (88% accuracy).
Uses for AI Technology
This type of technology could have a wide range of applications, including being used as a tool for quickly screening large numbers of tissue samples in order to help speed up diagnosis times.
Future Developments
„With further development this technology could eventually become part of routine clinical practice,“ said Professor Li Qiang, lead author on the study.
Neueste Kommentare