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AI model shows promise for interpreting follow-up chest x-rays

AuntMinnie

Radiologists routinely compare the current and previous chest radiographs during interpretation to enhance the sensitivity for change detection and provide information for differential diagnosis. Example of triage of no change in a pair of chest radiographs in the emergency department. (A) Image courtesy of Radiology.

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Weight Bearing CT Imaging for Sports Medicine

CurveBeam AI

Common Indications Syndesmosis Provide increased sensitivity and specificity over radiographs 1. 2018 Feb;9(1):35-45. Epub 2018 Jan 4. Differentiate pathology from natural variability in patient anatomy via contralateral comparison to uninjured ankle as internal control 2. Help detect subtle syndesmosis injuries 1.

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Elbow Dislocations

REBEL EM

2018 Jun;54(6):849-854. Epub 2018 Apr 19. 2018 Apr 4;100(7):e46. Treasure Island (FL): StatPearls Publishing; 2024 Jan–. PMID: 30521261 Gottlieb M, Schiebout J. Elbow Dislocations in the Emergency Department: A Review of Reduction Techniques. J Emerg Med. doi: 10.1016/j.jemermed.2018.02.011. 2018.02.011. J Am Acad Orthop Surg.

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Radiography, Research, and You

The British Institute of Radiology

Kim Mason Kim Mason, an Audit and Research Radiographer for Mid Yorkshire Teaching Hospitals Trust, talks about their role as well as the value of radiographer engagement in research activities and how to get involved. Hi, I’m Kim and I am an alternative-styled, funky-haired, septum-pierced, disabled Audit and Research Radiographer.

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Weight Bearing CT for Foot & Ankle Imaging

CurveBeam AI

Common Indications Syndesmosis Provide increased sensitivity and specificity over radiographs 1. Flat Foot Provide an assessment of important anatomical markers of pronounced hindfoot deformity and peritalar subluxation (PTS), difficult to visualize on conventional two-dimensional radiographs 2. Epub 2018 Oct 8. Foot Ankle Int.

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Low risk of oropharynx cancer on PET/CT, surgeons advise

AuntMinnie

To bridge this knowledge gap, the group analyzed 327 PET/CT diagnostic radiology reports between January 2001 and December 2018 at their institution that included descriptions of the finding. These signs often prompt otolaryngology referral to rule out malignancy yet the true risk based on the finding is unknown, they noted.

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Deep learning combines breast imaging data to predict cancer prognosis

AuntMinnie

The researchers included data from 1,242 patients recruited between 2013 and 2018 and divided them into training (n = 1,014) and testing groups (n = 228). They collected imaging data to establish deep-learning models using ResNet50. They used area under the receiver operating curve (AUC) to measure the predictive performance of the models.