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.

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

Researchers found that the combination of a retrovesicourethral angle, functional urethral length, and bladder funnel on MRI exams in primiparous women had a 94.7 percent AUC for predicting postpartum stress urinary incontinence (SUI).

Leveraging artificial intelligence (AI) algorithms, the qXR-CTR reportedly provides automated cardiothoracic ratios (CTRs) through assessment of plain chest radiographs.

Is the continued rise of artificial intelligence (AI) driven by legitimate “machine learning,” or do the frequently “suspicious” chest X-rays and questionable detection of subtle findings on head CTs reveal a hype-driven train of new products with an ultimately “planned obsolescence”?

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.

iMPI technology represents a significant advancement in the field of medical imaging that may potentially revolutionize the way endovascular interventions are conducted.

Researchers noted a 20.1 percent incidence of bone-only metastasis in a cohort of men with castration-resistant prostate cancer, according to findings from research presented at the recent Society for Nuclear Medicine and Molecular Imaging (SNMMI) conference.

The MAGNETOM Viato.Mobile may facilitate improved access to MRI capabilities for patients with serious health conditions who lack geographic proximity to centers with advanced imaging.

For patients discharged from the hospital with confirmed COVID-19, median five-month follow-up MRI findings revealed a greater likelihood of regional brain volume reduction, parenchymal lung abnormalities and loss of corticomedullary differentiation in the kidney in comparison to people who have not had COVID-19.

Thirty-five percent of the interventional radiology malpractice cases involved vascular procedures and 26 percent of overall malpractice cases that went to trial resulted in plaintiff judgments with the average award being over $2 million.

The Exo Iris reportedly combines advanced silicon technology with imaging, workflow software and artificial intelligence (AI) to facilitate multidisciplinary use of point-of-care ultrasound.

The transitional pass-through payment reimbursement code for the FDA-approved PSMA PET agent for prostate cancer detection will be effective as of October 1, according to the Centers for Medicare and Medicare Services (CMS).

For patients who had previous radiotherapy for prostate cancer (PCa), researchers found that a biparametric MRI-based deep learning model demonstrated an 81.5 percent sensitivity rate for PCa recurrence in patients previously treated with external beam radiation treatment (EBRT) and 100 percent sensitivity in patients with greater than 34 ml in gland volumes.

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

What constitutes an optimal work schedule in radiology?

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

The Pulmonary Embolism (PE) Triage and Notification (PETN) module with RapidAI’s RapidPE platform reportedly demonstrated over 90 percent sensitivity and specificity rates for detection of central PE on computed tomography (CT), according to multicenter study findings presented at the 9th Annual Pulmonary Embolism Symposium.

New research suggests the capability of a mammography-based deep learning model to identify women at high risk of breast cancer led to more than triple the cancer detection rate on breast MRI in comparison to traditional risk assessment tools.