Emerging PET/CT Agent Shows Promise in Detecting PCa Recurrence in Patients with Low PSA Levels
18F-DCFPyL facilitated detection of recurrent prostate cancer in 51 percent of patients with PSA levels ranging between 0.2 to 0.5 ng/ml, according to new research presented at the American Society of Clinical Oncology Genitourinary Cancers (ASCO-GU) Symposium.
Employing AI in Detecting Subdural Hematomas on Head CTs: An Interview with Jeremy Heit, MD, PhD
In a video interview from the International Stroke Conference (ISC), Jeremy Heit, M.D., Ph.D., discussed new research revealing over 90 percent sensitivity and specificity rates for AI detection of subdural hematomas on non-contrast-enhanced head CTs.
Comparative AI Study Shows Merits of RapidAI LVO Software in Stroke Detection
The Rapid LVO AI software detected 33 percent more cases of large vessel occlusion (LVO) on computed tomography angiography (CTA) than Viz LVO AI software, according to a new comparative study presented at the International Stroke Conference (ISC).
Samsung to Launch AI-Powered OB-GYN Ultrasound at Society for Maternal-Fetal Medicine Conference
Designed for advanced OB-GYN applications, the Samsung Z20 ultrasound platform reportedly provides a combination of artificial intelligence (AI) tools and enhanced ergonomics.
Current and Emerging Insights on AI in Breast Imaging: An Interview with Mark Traill, MD, Part 3
In the third part of a three-part interview from the recent RSNA conference, Mark Traill, M.D., discusses the potential of image-based risk assessment artificial intelligence (AI) algorithms in bolstering adherence to screening protocols for women at high risk for breast cancer.
Current and Emerging Insights on AI in Breast Imaging: An Interview with Mark Traill, MD, Part 2
In the second part of a three-part interview from the recent RSNA conference, Mark Traill, M.D., emphasizes patience and monitoring with the assessment of AI to ensure optimal use of the technology to help ease the strain of increasing breast imaging volume.
Current and Emerging Insights on AI in Breast Imaging: An Interview with Mark Traill, MD, Part 1
In the first of a three-part interview from the recent RSNA conference, Mark Traill, M.D., discusses current challenges in breast radiology and the potential of AI to help mitigate some of these issues.
Addressing Cybersecurity Issues in Radiology
In a recent interview at the RSNA conference, Raj Chopra, MD shared his insights on the continued rise of cyberattacks, the impact of these attacks in radiology and keys to prevention and effectively responding to such events.
Mammography Study Suggests DBT-Based AI May Help Reduce Disparities with Breast Cancer Screening
New research suggests that AI-powered assessment of digital breast tomosynthesis (DBT) for short-term breast cancer risk may help address racial disparities with detection and shortcomings of traditional mammography in women with dense breasts.
Can MRI-Based AI Bolster Biopsy Decision-Making in PI-RADS 3 Cases?
In patients with PI-RADS 3 lesion assessments, the combination of AI and prostate-specific antigen density (PSAD) level achieved a 78 percent sensitivity and 93 percent negative predictive value for clinically significant prostate cancer (csPCa), according to research presented at the Radiological Society of North American (RSNA) conference.
Can an Emerging AI Software for DBT Help Reduce Disparities in Breast Cancer Screening?
In a recent interview, Sarah Friedewald, MD, discussed new study findings for an adjunctive AI software for digital breast tomosynthesis (DBT) that revealed nearly equivalent sensitivity and specificity rates for breast cancer across a diverse cohort.
In a multicenter study involving over 747,000 women who had mammography screening, those who paid for AI-enhanced screening had a 21 percent higher recall rate and a 15 percent higher positive predictive value (PPV) for breast cancer, according to research presented at the Radiological Society of North America (RSNA) conference.
Skeletal Muscle Loss and Dementia: What Emerging MRI Research Reveals
In a recent interview at the RSNA conference, Shadpour Demehri, MD and Kamyar Moradi, MD discussed new brain MRI research findings that demonstrated a link between increased dementia risk and sarcopenia with the temporalis muscle.