Clinical Roundup

AI may be more accurate vs. traditional methods at classifying patients into prostate cancer risk groups

For localized prostate cancer, multimodal artificial intelligence models have revealed a more accurate way to assess prostate cancer risk.  By combining advanced artificial intelligence with digital pathology images and clinical data, researchers developed a way to approach risk classification that outperforms traditional methods. These findings were published in JCO Precision Oncology. The research found that... […]
Clinical Roundup

Neuro-oncology experts release clinical practice guidelines for using AI in brain cancer diagnosis, monitoring, treatment

An international, multidisciplinary team of leading neuro-oncology researchers and clinicians has released new recommendations for good clinical practice—a set of guidelines that helps ensure clinical trial results are reliable, and patients are protected—regarding the use of artificial intelligence methods to more accurately diagnose, monitor, and treat brain cancer patients. The team recently published two companion... […]
Clinical Roundup

East Alabama Medical Center, Inflo Health, ACR ImPower program collaboration boosts recommendations follow-up by 74%

Inflo Health, a leader in AI-driven radiology follow-up care orchestration, announced that it has qualified for the American College of Radiology’s Learning Network Vendor Partner designation on the heels of a successful collaboration that saw East Alabama Medical Center significantly improve recommendations follow-up rates.Â