In a recent interview, Jean-Luc C. Urbain, M.D., Ph.D., the new president of the Society for Nuclear Medicine and Molecular Imaging, discussed current challenges in nuclear medicine and key goals, including improved access to nuclear medicine for people in underserved communities.
In a recent interview at the SNMMI conference Amir Iravani, M.D., discussed a new sub-analysis from the CONDOR study, which revealed consistently high positive predictive value for 18F-piflufolastat PSMA PET/CT in the detection of local prostate cancer recurrence.
In a recent interview at the SNMMI conference, Liza Lindenberg, M.D., discussed preliminary research findings that suggest the potential of the 18F-fluciclovine PET/CT for detection of multiple myeloma.
In a recent interview at SNMMI conference, Merle Hoenig, Ph.D., discussed new tau PET research examining genetic and modifiable risk factors that contribute to the progression of Alzheimer’s disease.
In a recent interview, Sherry Shen, M.D., discussed the potential impact of FES PET recently being recommended by the National Comprehensive Cancer Network (NCCN) Guidelines for the staging of recurrent or metastatic estrogen receptor-positive (ER+) lobular breast cancer.
In a recent interview, Samir Abboud, M.D., discussed new research examining the impact of generative AI in maximizing efficiency and reducing the time-consuming nature of radiology reporting.
In a recent interview, Jean Seely, M.D., discussed a new study showing significantly higher rates of mastectomy, chemotherapy use and breast cancer-specific death in women with symptom-detected cancer in comparison to those with screen-detected breast cancer.
In a recent interview, C. Alberto Morales, M.D., discussed the impact of advances with CTA imaging and AI, and a shifting emphasis in cardiac risk stratification from stenosis to plaque burden.
In a recent interview, Wayne Brisbane, M.D., discussed new research, presented at the American Urological Association (AUA) conference, which revealed a 15 percent higher AUC for an emerging AI software in detecting seminal vesicle invasion (SVI) in comparison to prostate MRI alone.
In a recent interview, Manisha Bahl, M.D., discussed key findings from a new study on AI and digital breast tomosynthesis that she presented at the Society for Breast Imaging (SBI) conference.
In a recent interview, Benjamin Kann, M.D., discussed the use of an emerging AI model that can assess longitudinal MR imaging to help predict postoperative recurrence risk for gliomas in pediatric patients.
In a recent interview, Arjun Sahgal, M.D., discussed current and emerging research examining the potential of MRI-guided adaptive radiotherapy for treating glioblastomas.
In a recent interview, Syam Reddy, M.D., discussed the rising incidence of colon cancer and a clinical pathway resource with Radiology Partners that facilitates the integration of computed tomography colonography (CTC) into radiology practice.
In a recent interview, Rebecca Smith-Bindman, M.D., offered key insights on new research examining the link between computed tomography scans and projected future cases of radiation-induced cancer.
Emerging research from the recent Society of Interventional Radiology (SIR) conference suggests the combination of transarterial radioembolization (TARE) and immunotherapy may offer improved three-year survival outcomes for patients with breast cancer and liver metastases.
In a recent interview, Emily Conant, M.D., discussed findings from two studies presented at the European Congress of Radiology (ECR) conference that showed the potential impact of image-based AI risk models and breast arterial calcification detection in mammography screening.
In a recent interview, Abhinav K. Jha, Ph.D., discussed key challenges with the use of SPECT MRI and how an emerging deep learning model may facilitate attenuation compensation without the need for an additional computed tomography (CT) scan.
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.
Emphasizing the role of radiologists in facilitating timely diagnosis of Marfan syndrome, Alan Braverman, M.D. discussed the use of echocardiography, CT, and MRI in evaluating patients with this genetic aortic condition.
In a recent interview, Joshua Gowin, M.D., discussed emerging brain MRI research that showed a significant association between heavy lifetime use of cannabis and reduced brain activity for working memory tasks in young adults.
In a recent interview, Amy Patel, M.D., discussed key points of emphasis for legislative advocacy in radiology, including long-term reform in Medicare reimbursement, improved coverage of breast cancer screening and mitigation of the ongoing radiology workforce shortage.
In the second part of a two-part interview, Nina Kottler, M.D., says the transparency emphasis of the recent FDA guidance on AI-enabled software is welcome but needs to go beyond additional documentation to clarify how adjunctive AI is making its decisions.
In the second part of a two-part interview on the recently published appropriate use criteria for brain positron emission tomography (PET) for patients with mild cognitive impairment (MCI), Phillip Kuo, M.D. discusses clinical cases involving the use of amyloid and tau PET imaging.
In the first part of a two-part interview, Nina Kottler, M.D. offers insights and perspective on the recently issued guidance from the FDA on AI-enabled devices and how it may impact developers in the radiology field.
In a recent interview, Phillip Kuo, M.D., discussed the impact of newer anti-amyloid antibody therapies for Alzheimer’s disease upon recently issued appropriate use criteria (AUC) for amyloid positron emission tomography (PET) imaging as well as the incorporation of tau PET into the AUC for patients with mild cognitive impairment.
In a recent interview, Arlene Sussman, M.D., discussed her experience in leading vRad’s teleradiology breast imaging service, how to foster personalized care in breast cancer screening, utilizing AI to help mitigate daunting worklists and improving access to subspecialty care.
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.
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.
