Orthopedic X-Ray

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.

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

While radiologists interpreted approximately 99 percent of all non-cardiac CT, MRI and nuclear medicine studies in hospital and emergency department settings for Medicare beneficiaries, new research shows significantly less radiologist review of cardiac imaging and office-based imaging.

Out of 315 patients identified by artificial intelligence (AI) as being at high risk for osteoporosis, subsequent screening with dual-energy X-ray absorptiometry (DXA) in a randomized controlled trial revealed new-onset osteoporosis in 237 patients.

The second-generation version of the VUZE System reportedly offers expanded functionality and incorporation of varied sources of 3D imaging data, including cone-beam CT scans obtained in the OR.

In addition to advanced imaging quality and dose efficiency, the Philips Zenition 30 mobile C-arm device emphasizes personalized user profiles and automated customization to help reduce procedure time.

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

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.

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.

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.

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

A 45-year-old basketball player presents with an acute injury in the emergency room. What is the most likely diagnosis for the shoulder injury depicted in the image?

Featuring 12 prior FDA clearances for chest X-ray and non-contrast head CT, the Annalise Triage platform may help streamline radiology workflows and prioritize timely diagnosis of urgent conditions.

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

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

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

The Allia IGS Pulse reportedly has the first monopolar X-ray tube geared to interventional procedures.

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

By leveraging subtle signals on routine X-rays to assess bone mineral density (BMD), the technology may facilitate earlier detection of osteoporosis and help prevent fragility fractures.

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

Integrating clinical data parameters along with chest X-ray findings, the multimodal artificial intelligence (AI) model outperformed the use of clinical parameters only and chest X-rays only for various conditions ranging from congestive heart failure and chronic kidney disease to hypertension and pneumonia.

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

In a multicenter study examining four commercially available artificial intelligence (AI) software products for chest X-rays in over 2,000 patients, researchers found sensitivity rates ranging between 33 to 61 percent for vague airspace disease and 9 to 94 percent for small pneumothorax and pleural effusion.

When facilities routinely forward X-rays for “pain,” vascular ultrasound studies without Doppler or chest computed tomography (CT) scans devoid of breath holding, patient care suffers.

The notion of non-physician practitioners (NPPs) attempting to do radiologist-level work is a very slippery slope and what this author refers to as the “bargaining” stage of grief.

Noting recent double-digit increases in health-care associated infections (HAIs) and potential vulnerabilities in radiology departments, this author emphasizes proactive preventive measures to protect patients and staff.