More accurate, less workload: AIIMS turns to AI to read X-rays, Pg4

Key Highlights:

• AIIMS Delhi is using an AI tool to analyze chest X-rays, generating reports in 5-10 minutes.
• The AI software, sourced from a Mumbai-based healthtech startup, is FDA-approved.
• The tool helps prioritize patients by detecting abnormalities with 99.7% sensitivity.
• AIIMS plans to develop its own customized AI system in the future.

Detailed Insights:

• The AI tool uses deep learning algorithms to identify patterns and detect abnormalities in chest X-rays.
• The system aims to reduce backlogs and speed up the delivery of radiology reports to physicians.
• The AI assists in triaging cases, enabling radiologists to prioritize patients based on the urgency of their condition.
• The AI-generated reports are reviewed by radiologists and clinicians before treatment decisions are made.
• The implementation of AI aims to reduce the workload on radiologists, especially during night shifts and emergencies.
• Patients can receive preliminary reports faster, improving the consultation process.
• AIIMS conducts approximately 1,000 chest X-ray scans daily, highlighting the need for efficient diagnostic tools.

Scientific/Technical Concepts Involved:

• Deep Learning: A type of artificial intelligence that uses algorithms to analyze data and identify patterns.
• Triage: The process of prioritizing patients based on the severity of their condition to optimize resource allocation.
• Sensitivity: A measure of a test's ability to correctly identify positive cases (e.g., detecting abnormalities).