X-Ray

A new study shows that GPT-4 may offer comparable error detection rates to those of attendings and radiology residents in reviewing radiology reports, but researchers noted key caveats as well.

Leveraging artificial intelligence, the Rho software assessment of X-rays may allow earlier detection of bone loss.

Review the case and test your knowledge to make the correct diagnosis.

Catch up on the top AI-related news and research in radiology over the past month.

Review the case and test your knowledge to make the correct diagnosis.

Noting the challenges of conservative therapy and limitations of total knee arthroplasty, the targeted minimally invasive geniculate artery embolization, performed by interventional radiologists, may be a viable treatment alternative.

Review the case and test your knowledge to make the correct diagnosis.

With reported increases in tuberculosis cases after the COVID-19 pandemic, the qSpot-TB adjunctive artificial intelligence (AI) device may facilitate improved diagnosis of the disease on chest X-rays.

Employing reconstructed radiographs from 3D hip CT scans, a deep learning model demonstrated a higher concordance index (C index) and higher two- and three-year AUCs than multiple imaging models and three clinical models for predicting subsequent fracture risk in patients with hip fractures.

Catch up on the top AI-related news and research in radiology over the past month.

In a recently issued statement from multiple radiology societies including the RSNA and ACR, researchers offer practical advice for evaluating artificial intelligence (AI) tools, implementing AI into current workflows and monitoring of the technology to help ensure optimal benefit and effectiveness.

While CT, MRI and X-rays provide more of a workout for one’s radiological skills, more occasional spurts of DEXA scans and Doppler ultrasounds can provide comfortable diversions on worklists.

Catch up on the top radiology content of the past week.

In addition to high-quality X-ray and fluoroscopic images, the DRX-Excel Plus X-ray System provides automated filter selection, grid parking and positioning of table axes.

In part of an ongoing multicenter study evaluating commercial artificial intelligence (AI) products in radiology, AI lung nodule detection software from four out of seven vendors demonstrated stand-alone AUCs ranging from 5 to 12 percent higher than the mean AUC of 17 reviewing radiologists.

A comfortable environment for reading CTs, MRIs and X-rays may be conducive to less interruptions and longer intervals at radiology workstations.

Tailored for incidental findings on chest radiographs, the qXR for Lung Nodule (qXR-LN) software utilizes artificial intelligence (AI) to help detect suspected pulmonary nodules ranging between 6 to 30 mm.

Catch up on the most viewed content on AI in radiology from 2023.

Catch up on the top AI-related news and research in radiology over the past month.

Catch up on the most well-read Eric Postal, M.D.-penned blogs from 2023.

Catch up on the top radiology content of the past week.

In addition to offering a 98.5 percent sensitivity rate in diagnosing fractures on X-ray, an emerging artificial intelligence (AI) software reportedly helped reduce mean turnaround time on X-ray fracture diagnosis from 48 hours to 8.3 hours, according to new research presented at the Radiological Society of North America (RSNA) conference.

Catch up on the top radiology content of the past week.

Emerging research suggests that adjunctive artificial intelligence (AI) improves sensitivity for a variety of abnormalities on chest X-rays regardless of radiologist experience level, including an average 26 percent increase in sensitivity for pneumothorax.

BraveCX, an artificial intelligence (AI)-enabled software, reportedly has an area under the curve (AUC) of 98 percent for detecting pneumothorax on chest X-rays.

Catch up on the top AI-related news and research in radiology over the past month.

Catch up on the top radiology content of the past week.

Artificial intelligence (AI) assessments of chest X-rays identified 28 percent of a 17,000 plus cohort of never-smokers as being at high-risk for lung cancer, according to research to be presented at the annual Radiological Society of North America (RSNA) conference next week.

Review the case study and test your knowledge to make the correct diagnosis.