Learn How AI and ML Allow for Rapid and Efficient Assessment of Images in Clinical Trials Subheading
Learn How AI and ML Allow for Rapid and Efficient Assessment of Images in Clinical Trials Subheading:
Download the Artificial Intelligence Can Boost Reliability and Speed of Medical Imaging Analysis in Clinical Trials Whitepaper
Pharmaceutical firms face many challenges in bringing their products through clinical trials — from enrollment delays to data quality issues — and every advantage can make a difference. In imaging analysis, sponsors can gain a critical advantage by leveraging artificial intelligence/machine learning.
Artificial Intelligence (AI) and Machine Learning (ML) allow rapid and efficient assessment of images and can aid in more accurate identification, classification and measurement of specimens. Leveraging ML in a clinical trial will:
- Boost speed: AI allows automatic interpretation of images, which shave weeks off the timeline for patient enrollment
- Improve quality of images and interpretations: AI soon may be able to help radiologists avoid missed lesions, misclassifications, etc.
- Ensure consistency: Without AI, sponsors see up to 40% variability on different radiologists’ readings of scans. Variability with ML is significantly better.