Research Highlights from the SNMMI 2023 Conference
Catch up on emerging research findings presented at the Society for Nuclear Medicine and Molecular Imaging (SNMMI) 2023 conference.
From molecular imaging insights on obesity and kinetic modeling to bolster PET tracer quantification for cardiac amyloidosis to the role of PET imaging in de-escalating breast cancer treatment, promising research for challeging conditions was in abundance at the Society of Nuclear Imaging and Molecular Imaging (SNMMI) 2023 conference in Chicago. Review the slideshow below to check out some of the new research highlights from the conference.
Can AI Predict Future Lung Cancer Risk from a Single CT Scan?
May 19th 2025In never-smokers, deep learning assessment of single baseline low-dose computed tomography (CT) scans demonstrated a 79 percent AUC for predicting lung cancer up to six years later, according to new research presented today at the American Thoracic Society (ATS) 2025 International Conference.
Mammography Study Compares False Positives Between AI and Radiologists in DBT Screening
May 8th 2025For DBT breast cancer screening, 47 percent of radiologist-only flagged false positives involved mass presentations whereas 40 percent of AI-only flagged false positive cases involved benign calcifications, according to research presented at the recent American Roentgen Ray Society (ARRS) conference.
MRI Study at ARRS Raises Questions About Disparities in Detection of MASLD
May 3rd 2025New research revealed that Hispanic Americans with evidence of hepatic steatosis on MRI but no formal diagnosis of MASLD had over a fourfold higher risk of developing hepatocellular carcinoma in comparison to those who had a formal diagnosis of MASLD.
FDA Clears MRI-Based AI Segmentation of Organs at Risk During Radiation Therapy
May 2nd 2025Capable of segmenting over 37 organs and structures in the head, neck and pelvis, the MR Contour DL software is currently being showcased at the European Society for Radiotherapy and Oncology (ESTRO) conference.
Study Examines CT-Based AI Detection of Incidental Abdominal Aortic Aneurysms
April 29th 2025The AI software Viz AAA offered a sensitivity of 87.5 percent in detecting abdominal aortic aneurysms on contrast-enhanced CT, according to new retrospective research presented at the American Roentgen Ray Society (ARRS) conference.
