The PACSman Pontificates: Burned out on burnout
February 28, 2023 -- Burnout has been an increasingly prevalent topic of discussion in the radiology community. In a new column, The PACSman -- Michael J. Cannavo -- shares his thoughts on burnout and what can be done about it. Read More
PET AI model improves lung cancer staging
February 27, 2023 -- An artificial intelligence (AI) model based on routine data from F-18 FDG-PET/CT scans can improve accuracy when staging treatment for patients with metastatic lung cancer, according to a group in Germany. Read More
AI challenge yields strong results for DBT
February 23, 2023 -- Artificial intelligence (AI) algorithms can deliver strong performance for detecting tumors on digital breast tomosynthesis (DBT) exams, according to results from an AI challenge published February 23 in JAMA Network Open. Read More
How effective are AI tools for assessing body composition on CT?
February 23, 2023 -- Artificial intelligence (AI) tools for assessing body composition on CT appear to produce highly accurate technical results, according to research published February 22 in the American Journal of Roentgenology. Read More
Technology trends at ECR 2023: What can you expect in Vienna?
February 21, 2023 -- Central themes at ECR 2023 look set to be efficiency gains and workforce challenges, particularly radiologist burnout, skills shortages, and sustainability. That's the view of market analysts at Signify Research, who have assessed the state of play in Europe ahead of the congress. Read More
Radiomics, AI model help characterize breast lesions on MRI
February 10, 2023 -- A machine-learning algorithm that analyzes radiomics features on dynamic contrast-enhanced (DCE) MRI images shows potential for differentiating between benign and malignant breast lesions, according to research published February 7 in Radiography. Read More
AI advice on x-rays improves interpretation among nonexperts
February 8, 2023 -- Nonradiologist physicians participating in an artificial intelligence (AI) reader study achieved higher diagnostic accuracy for reading chest x-rays after receiving explainable AI advice, according to researchers. Read More
Can MRI radiomics help predict rectal cancer treatment response?
February 8, 2023 -- An MRI radiomics-based nomogram can outperform radiologists in predicting complete pathological response to neoadjuvant chemotherapy in locally advanced rectal cancer, a Chinese study published February 2 in Academic Radiology found. Read More
AI-based CAD algorithm shows value in 'real-world' setting
February 7, 2023 -- A commercially available artificial intelligence (AI)-based algorithm could help radiologists detect lung nodules on chest x-rays in patients undergoing routine health checkups, according to a study published February 7 in Radiology. Read More
Brain PET patterns emerge in early Alzheimer's patients
February 7, 2023 -- A computer model derived from amyloid PET scans appears to be able to predict how early Alzheimer's disease will progress in patients based on distinct brain patterns, according to a study published February 2 in Translational Psychiatry. Read More
Special Feature
Potential for racial bias raises concerns for radiology AI
Potential for racial bias raises concerns for radiology AI

A preprint study that raised troublesome questions last year about potential bias in radiology artificial intelligence (AI) algorithms has now been formally published in the Lancet Digital Health with the same conclusions. Learn more

2023 AIMI Symposium
June 8
Palo Alto, California United States