A machine-learning model based on chest CT images accurately predicts lung function, which can help clinicians diagnose and assess…
We scan the top radiology sources so you don’t have to.
From AI breakthroughs to imaging trends, we serve up real-time radiology insights.
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FES-PET shows promise staging women with invasive lobular cancer
Invasive lobular cancer is the second most common type of breast cancer and is difficult to detect, but FES-PET could aid in surgical…
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AuntMinnie.com Molecular Imaging Insider
In this edition of our Molecular Imaging Insider, we’re highlighting a study that suggests that FES-PET/CT could help stage treatment…
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Sarcopenia diagnosed by chest CT predicts long-term mortality in critically ill patients with exacerbation of chronic obstructive pulmonary disease
Chronic obstructive pulmonary disease (COPD) is a prevalent condition. It remains one of the major causes of disability and death worldwide, leading to enormous public-health problems and economic burdens [1–3]. COPD is occasionally accompanied by periods of acute exacerbations. The exacerbation of COPD (ECOPD) is a pivotal driver for adverse clinical outcomes, leading to a significant deterioration in pulmonary function, a marked decrease in life quality, and a higher risk of mortality [4–6]. E…
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Optimized post-processing parameters for dry bone computed tomography imaging: Recommendations for diverse research applications
This study aimed to compare the performance of different convolution kernels and reconstruction matrices in enhancing computed tomography (CT) image quality and three-dimensional (3D) reconstruction quality. Based on these findings, recommendations for optimizing CT post-processing parameters are provided to meet various research needs.
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Reducing Mammography Workload by Nearly 40 Percent? What a New Hybrid AI Study Reveals
In a recent interview, Ioannis Sechopoulos, Ph.D, and Sarah D. Verboom, MSc discussed their new research examining the role of certainty in AI mammography screening assessment and the potential impact on workload reduction for radiologists.
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Hybrid AI reading shows success in breast cancer screening
A hybrid reading strategy for screening mammography reduced radiologist workload by 38% without changing recall or breast cancer…
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Hybrid AI reading shows success in breast cancer screening
A hybrid reading strategy for screening mammography reduced radiologist workload by 38% without changing recall or breast cancer…
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Diagnosis of Renal Cell Carcinoma: 5 Things to Know
From artificial intelligence radiomics and liquid biopsy to simple blood tests, a full armamentarium is key to early and accurate RCC diagnosis. Stay vigilant with these five things to know. Medscape Oncology
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Structured CT reporting tool may aid hernia detection after bariatric surgery
In hospital emergency departments, Roux-en-Y gastric bypass (RYGB) patients may present with abdominal pain following surgery.