Diagnostic Imaging's A Look Ahead: March 22, 2021, to March 26, 2021
Here's what to expect this week on Diagnostic Imaging.
In this week’s preview, here are some highlights of what you can expect to see coming soon:
When it comes to COVID-19 detection, time is critical. This week, Diagnostic Imaging speaks with the leadership of RADLogics about their current artificial intelligence (AI) system that is designed to streamline workflow. CEO Moshe Becker shares not only the benefits of the system for radiologists, but also the impact on patient care. In addition, he also addresses what makes this AI system different from others in light of a new study that calls the efficacy and accuracy of COVID-19-related machine learning into questions. Look for the interview later this week.
For more COVID-19 AI coverage, click here.
For more coverage based on industry expert insights and research, subscribe to the Diagnostic Imaging e-Newsletter here.
Recent research has shed a great deal of light on the role of the blood-brain barrier in brain aging diseases. This week, new investigative findings will be published about the impact of having a faulty blood brain barrier and how it might affect the brain. Look for details later this week.
For more coverage of the blood brain barrier, click here.
While tuberculosis is rare in the United States, that isn’t necessarily the case around the world. And, individuals who have active infections pose a dangerous risk to those around them. In a study to-be-published later this week, investigators take a deeper look at how the use of chest X-ray or chest CT allow for more timely screenings and diagnosis. Look for the story later this week.
For additional tuberculosis coverage, click here.
Considering Breast- and Lesion-Level Assessments with Mammography AI: What New Research Reveals
June 27th 2025While there was a decline of AUC for mammography AI software from breast-level assessments to lesion-level evaluation, the authors of a new study, involving 1,200 women, found that AI offered over a seven percent higher AUC for lesion-level interpretation in comparison to unassisted expert readers.
Can CT-Based Deep Learning Bolster Prognostic Assessments of Ground-Glass Nodules?
June 19th 2025Emerging research shows that a multiple time-series deep learning model assessment of CT images provides 20 percent higher sensitivity than a delta radiomic model and 56 percent higher sensitivity than a clinical model for prognostic evaluation of ground-glass nodules.
FDA Clears Ultrasound AI Detection for Pleural Effusion and Consolidation
June 18th 2025The 14th FDA-cleared AI software embedded in the Exo Iris ultrasound device reportedly enables automated detection of key pulmonary findings that may facilitate detection of pneumonia and tuberculosis in seconds.
