Radiologists need to become great risk takers and follow clinical science's move toward systems biology or become irrelevant, according to Dr. Elias Zerhouni, director of the National Institutes of Health.
Radiologists need to become great risk takers and follow clinical science's move toward systems biology or become irrelevant, according to Dr. Elias Zerhouni, director of the National Institutes of Health.
Imagers need to replace the current imaging approach to understand complex disease mechanisms, such as inflammation or apoptosis, rather than simply specific conditions, like arthritis or cancer. That means moving down the angstrom scale to resolve complex macromolecular structures, Zerhouni said.
Radiologists should develop biomarkers to assist in the study of treatments for long-term chronic diseases and get involved in image-guided intervention and microsampling for disease characterization, he said.
Zerhouni spoke during a session on the future of biomedical imaging and imaging research at the European Congress of Radiology. The NIH will invest about $1 billion in 2007 in projects with non-U.S. partners.
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.