Using AI For Lung Disease Diagnosis
Using AI for Lung Disease Diagnosis
Artificial Intelligence (AI) has been introduced to help diagnose the presence of lung cancer. Imaging is critical to lung cancer care; with help from AI, lung cancer can potentially be spotted sooner.
A new study combines CT information with clinical data to precisely forecast lung cancer. The AI considers factors such as nodule size, age, years smoked, cancer history, occupational exposure, and more.
More than four million people worldwide die prematurely due to a severe respiratory illness each year. Long-term exposure to dangerous toxins, particles, gases, or harsh temperatures can significantly affect the lungs. Certain occupations are more at risk than others, such as those who work as steelworkers, miners, or with textiles and automobiles. Chronic Obstructive Pulmonary Disease (COPD) is a life-threatening illness causing emphysema. In clinical settings, emphysema is assessed by patient history, lung function, radiographs, and more. However, these tools are not able to make a diagnosis of mild emphysema. AI radiography is the most effective tool to detect issues that might normally slip under the radar.
A study released in October outlines how AI could match professional radiologists to predict emphysema in patients.
RadParts is the world s largest independent distributor of OEM replacement parts. We specialize in low-cost parts for repairing linear accelerator and radiation equipment. Our mission is to provide high-quality, user-friendly, low-cost parts and support for linear accelerators and radiation equipment. Contact RadParts at 877-704-3838 or visit us on the web: https://www.radparts.com.
Written by the digital marketing staff at Creative Programs & Systems: www.cpsmi.com.
- Israeli Child Receives Pioneering Seated Proton Therapy with Innovative System
- Significant Milestone Reached in Compact Particle Accelerator Technology
- Innovative Radiotherapy Method Potentially Halves Treatment Duration for Head and Neck Cancer
- WSU Veterinary Hospital Installs a New Linear Accelerator to Fight Cancer
- Patients Privately Pay $2,500 for a Full-Body MRI Scan to Detect Cancer
- MIT and Dana-Farber's Breakthrough in Identifying Cancer Origins
- Available Diagnostic Imaging for Smaller Communities & Young Athletes
- New MR, PET Images Analyze Alzheimer’s Biomarkers
- Prostate Cancer Treatment Vastly Improved
- Examining Breast Cancer Screening Age