Jeff Hall

In a study of over 30,000 screening digital breast tomosynthesis (DBT) exams for over 8,000 women, researchers found a specificity rate of 95.1 percent, a false negative rate of 2.1 (per 1,000 exams) and an abnormal interpretation rate (AIR) of 5.7 percent.

In a study examining the potential of the large language models ChatGPT-4 and Bard to follow ACR Appropriateness Criteria for breast cancer, lung cancer, ovarian cancer and colorectal cancer screening, researchers noted “impressive accuracy in making radiologic clinical decisions.”

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.

Contrast-enhanced mammography had a 98 percent sensitivity rate for diagnosing invasive lobular carcinoma and provided high conspicuity for 82 percent of detected lesions, according to research presented at the recent Radiological Society of North America (RSNA) conference.

In one of the study periods from recently published research on rectal MRI acquisition, researchers found that 39.7 percent of rectal MRI exams adhered to guidelines from the Society of Abdominal Radiology (SAR) and only 6.8 percent followed guidelines from the European Society of Gastrointestinal and Abdominal Radiology (ESGAR).

In a recent interview, Alexander Rau, M.D., discussed emerging research, presented at the recent RSNA conference, that shows the capability of diffusion microstructural imaging to differentiate subtle shifts in microstructural gray matter associated with common symptomatology of long Covid.

The use of 68Ga-RM2 PET/MRI demonstrated a 35 percent higher sensitivity rate than MRI alone for the diagnosis of biochemical recurrence of prostate cancer, according to research recently presented at the Radiological Society of North America (RSNA) conference.

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.

In an interview at the recent RSNA conference, Catherine Everett, M.D., shared her perspective on the radiology workforce shortage, offered insights on recruiting radiologists to rural areas and emphasized the urgency of bolstering access to radiologists and other health-care professionals for at-risk communities.

Emerging research suggests that stand-alone artificial intelligence (AI) assessment of breast ultrasound exams could eliminate over 45 percent of unnecessary follow-up exams.

In a new study examining population attributable risk proportions (PARPs) based on data from over three million screening mammography exams, researchers found that postmenopausal Black women had the highest BMI-related PARP and premenopausal Asian and Pacific Islander women had the highest breast density-related PARP for advanced breast cancer.

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.

Contrast-enhanced mammography detected additional lesions in 43 percent of patients and led to additional biopsies in 18.2 percent of patients, over half of whom had malignant lesions, according to a study of over 500 women presented at the recent Radiological Society of North America (RSNA) conference.

The combination of digital breast tomosynthesis (DBT) and digital mammography had a 21.6 higher invasive breast cancer detection rate for stage 1 tumors than digital mammography alone, according to a new study involving nearly 100,000 women.

In a recent interview, Mahsa Dolatshahi, M.D., M.P.H., and Cyrus A. Raji, M.D., Ph.D., discussed MRI and PET study findings, presented at the Radiological Society of North America (RSNA) conference, that showed an association between higher amyloid PET tracer uptake in the precuneus cortex and a higher visceral to subcutaneous fat ratio.

Providing 25 features to facilitate optimal workflow and user effectiveness, the portable Acuson Maple ultrasound can reportedly be utilized in a variety of clinical settings.

Offering a variety of integrated visualization tools, the SiteRite 9 Ultrasound System reportedly enables the insertion of vascular access devices regardless of user experience level.

Utilizing a deep learning-based AI algorithm to differentiate between diagnostic and non-diagnostic quality of prostate MRI facilitated a 10 percent higher specificity rate for diagnosing extraprostatic extension on multiparametric MRI, according to research presented at the recent RSNA conference.

In a newly published meta-analysis of 24 studies, researchers noted that the PSMA PET radiotracer 18F PSMA-1007 may provide more benefit than 68Ga Ga-PSMA-11 for primary staging of patients with prostate cancer and detection of local lesion recurrence, but also has drawbacks with higher liver uptake and multiple reports of false positive bone lesions.

Offering an all-in-one platform of artificial intelligence (AI) applications, MyBreastAI Suite reportedly facilitates early breast cancer detection and enhances efficiency with breast imaging workflows.

Consistent adherence to the five most recent mammography screenings prior to a breast cancer diagnosis reduced breast cancer death risk by 72 percent in comparison to women who did not have the mammography screening, according to new research findings presented at the annual Radiological Society of North America (RSNA) conference.

In a recent interview at the annual RSNA conference in Chicago, Richard Heller, MD discussed the impact of reduced reimbursement rates in radiology, the projected CMS conversion factor for 2024, the severity of payment cuts in interventional radiology and the importance of radiologist advocacy.

BrainSpec Core reportedly offers enhanced sensitivity for low-grade gliomas and may facilitate the diagnosis of conditions including Alzheimer’s disease, multiple sclerosis, and epilepsy.

People who smoke marijuana and cigarettes have 12 times the risk for centrilobular emphysema than non-smokers, according to new computed tomography (CT) research presented at the annual Radiological Society of North America (RSNA) conference.

The Aquilion ONE/Insight Edition and Aquilion Serve SP computed tomography (CT) systems reportedly offer enhanced deep learning reconstruction and intuitive workflow efficiencies.

In a four-year study of over 1,600 patients who had outpatient head CTs, head CT angiography and/or brain MRI to assess cognitive impairment, researchers found that Black patients were over 9 percent less likely than White patients and over 16 percent less likely than Hispanic patients to receive brain MRI.

In a recent interview about President Biden’s recent executive order on artificial intelligence (AI), Morris Panner, the president of Intelerad Medical Systems, shared his concerns that the executive order, while well-intentioned, may wind up stifling innovation and the continued evolution of AI in radiology.

With algorithms utilized in aerospace technology, the CT LVAS software reportedly provides enhanced assessment of regional airflow and lung ventilation.

The Biograph Vision.X positron emission tomography/computed tomography (PET/CT) reportedly offers an industry-leading time of flight (TOF) and detector technology that facilitates the diagnosis of smaller lesions.

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.