Many radiation oncologists are not formerly trained in imaging interpretation, and radiologists’ collaborative participation in care planning can help to catch errors, experts wrote recently.

While the studies on these systems have proven them to be effective in diagnosing and treating COVID in specific cohorts, the varying settings in which they were used can make it difficult to derive definitive conclusions on their efficacy.

Most FDA-cleared AI algorithms are related to radiology and cardiology, meaning radiologists and cardiologists need to make an effort to learn how these technologies work.

Scans on these patients show a combination of fibrosis, thickening, honeycombing, cystic changes and dilation of the bronchi, among other imaging features.

Thoracic CT is safely and wisely omitted from diagnostic protocols for ICU patients who have signs of infection after abdominopelvic surgery but were already imaged with abdominal CT.

A structured program to track incidental findings on body CT has significantly boosted rates of clinician follow-up as well as timely patient adherence to radiologist recommendations for next exams.

In a study of more than 250 COVID-positive patients with a history of any cancer, fewer than half the cohort had chest CT findings deemed typical for COVID-related pneumonia based on an RSNA classification guide. 

Using risk model-based strategies to determine who should undergo low-dose CT lung cancer screening is more cost effective than current U.S. Preventive Services Task Force guidelines.