- AI
- Molecular Imaging
- CT
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- Ultrasound
- MRI
- Facility Management
- Mammography
PIB-PET offers early proof of Alzheimer's disease onset
Groundbreaking research has confirmed that Pittsburgh Compound B binds to the beta-amyloid deposits in the brains of patients with Alzheimer's disease. The finding is a major step toward an early, definitive diagnosis of the memory-stealing condition.
Groundbreaking research has confirmed that Pittsburgh Compound B binds to the beta-amyloid deposits in the brains of patients with Alzheimer's disease. The finding is a major step toward an early, definitive diagnosis of the memory-stealing condition.
"As excited as researchers get, we are pretty excited," said senior author Dr. Steven T. DeKosky, director of the Alzheimer's Disease Research Center at the University of Pittsburgh.
DeKosky and colleagues studied a 63-year-old woman with a clinical diagnosis of AD who underwent PIB-PET imaging and brain autopsy upon her death 10 months later. The regions of her brain with the highest PIB levels before death correlated precisely with those with high beta-amyloid plaque concentration postmortem. An additional 27 brain autopsies confirmed the findings, which investigators reported in the March 12 online issue of Brain.
Could a Deep Learning Model for Mammography Improve Prediction of DCIS and Invasive Breast Cancer?
April 15th 2024Artificial intelligence (AI) assessment of mammography images may significantly enhance the prediction of invasive breast cancer and ductal carcinoma in situ (DCIS) in women with breast cancer, according to new research presented at the Society for Breast Imaging (SBI) conference.
Mammography-Based AI Abnormality Scoring May Improve Prediction of Invasive Upgrade of DCIS
April 9th 2024Emerging research suggests that an artificial intelligence (AI) score of 75 or greater for mammography abnormalities more than doubles the likelihood of invasive upgrade of ductal carcinoma in situ (DCIS) diagnosed with percutaneous biopsy.
Mammography Study: AI Improves Breast Cancer Detection and Reduces Reading Time with DBT
April 3rd 2024An emerging artificial intelligence (AI) model demonstrated more than 12 percent higher specificity and reduced image reading time by nearly six seconds in comparison to unassisted radiologist interpretation of digital breast tomosynthesis (DBT) images.
