About the Author: Ken Rosenfeld is president and CTO for eHealth Technologies. He has over 27 years of HIT industry experience which includes positions at Eastman Kodak as a worldwide business manager for HIT Enterprise Storage and Archiving and leading their $80M PACS business and healthcare information systems’ global R&D organization.Sponsored by: eHealth Technologies
Managing transitions of care continues to be one of the most disconnected and wasteful aspects of healthcare today. Consider that:
• About 30% of patients forget the CD
• It costs > $10 to create an imaging CD
• 22% of CD’s don’t work
• Up to one-third of CT exams are unnecessary
• 10% of today’s healthcare dollars go to medical imaging procedures
• 1-2% of cancer deaths may be due to a cancer caused by a CT scan
It seems obvious that streamlining the sharing of historical medical image exams should receive significant attention. What is needed to solve these issues and ensure that a patient’s historical medical images can be promptly accessed by all caregivers, is a solution architecture that anticipates and supports the need for images to be available along with the rest of the patient’s required medical history.
MRI-Based AI Radiomics Model Offers 'Robust' Prediction of Perineural Invasion in Prostate Cancer
July 26th 2024A model that combines MRI-based deep learning radiomics and clinical factors demonstrated an 84.8 percent ROC AUC and a 92.6 percent precision-recall AUC for predicting perineural invasion in prostate cancer cases.
Breast MRI Study Examines Common Factors with False Negatives and False Positives
July 24th 2024The absence of ipsilateral breast hypervascularity is three times more likely to be associated with false-negative findings on breast MRI and non-mass enhancement lesions have a 4.5-fold likelihood of being linked to false-positive results, according to new research.
Can Polyenergetic Reconstruction Help Resolve Streak Artifacts in Photon Counting CT?
July 22nd 2024New research looking at photon-counting computed tomography (PCCT) demonstrated significantly reduced variation and tracheal air density attenuation with polyenergetic reconstruction in contrast to monoenergetic reconstruction on chest CT.