Michal Meiri

AI
Operational applications drive AI adoption in radiology
When talking about artificial intelligence (AI) in radiology, one immediately thinks of the classic clinical use case of computer vision and powerful algorithms identifying abnormalities on imaging studies. Operational applications of AI, however, will likely be the first to be widely adopted.
March 16, 2020
2018 08 28 18 59 9066 Artificial Intelligence Ai 400
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Mammogram Patient
Womens Imaging
Mammo uptake among veterans on par with nonveterans
Female veterans are as likely to undergo screening mammography as nonveteran women.
Patient examples of SPECT/CT and PET/CT RECIP 1.0. (A) SPECT and PET maximum-intensity projection (MIP) images in 74-year-old man with mCRPC. Serum PSA level at baseline was 449 ng/mL and slightly increased to 525 ng/mL after two cycles of Lu-177 PSMA. Eastern Cooperative Oncology Group (ECOG) score was 2 at baseline and increased to 3 after 2 cycles. The patient was classified by readers as RECIP-progressive disease on both SPECT and PET. Overall survival was 4.7 months. Two cycles of Lu-177 PSMA were administered. (B) SPECT and PET MIP images in 74-year-old man with mCRPC. Serum PSA level was 231 ng/mL at baseline and decreased to 12.5 ng/mL after 2 cycles of Lu-177 PSMA. ECOG score was less than 2 at baseline and after 2 cycles of Lu-177 PSMA. The patient was classified by readers as RECIP-partial response on both SPECT and PET. Overall survival was 14.3 months. Four cycles of Lu-177 PSMA were administered.
Molecular Imaging
SPECT/CT predicts overall survival in Pluvicto patients
Glioma Letters Brain
MRI
AI-assisted brain MRI shows promise for improved glioma care
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MRI
Deep-learning technique boosts diagnostic ability of fast knee MRI
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Molecular Imaging
PET scans identify people at early risk for cognitive decline
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Mammo uptake among veterans on par with nonveterans
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Female veterans are as likely to undergo screening mammography as nonveteran women.
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SPECT/CT predicts overall survival in Pluvicto patients
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Patient examples of SPECT/CT and PET/CT RECIP 1.0. (A) SPECT and PET maximum-intensity projection (MIP) images in 74-year-old man with mCRPC. Serum PSA level at baseline was 449 ng/mL and slightly increased to 525 ng/mL after two cycles of Lu-177 PSMA. Eastern Cooperative Oncology Group (ECOG) score was 2 at baseline and increased to 3 after 2 cycles. The patient was classified by readers as RECIP-progressive disease on both SPECT and PET. Overall survival was 4.7 months. Two cycles of Lu-177 PSMA were administered. (B) SPECT and PET MIP images in 74-year-old man with mCRPC. Serum PSA level was 231 ng/mL at baseline and decreased to 12.5 ng/mL after 2 cycles of Lu-177 PSMA. ECOG score was less than 2 at baseline and after 2 cycles of Lu-177 PSMA. The patient was classified by readers as RECIP-partial response on both SPECT and PET. Overall survival was 14.3 months. Four cycles of Lu-177 PSMA were administered.
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Figure: Improved image quality with a generative adversarial network architecture for low- to high-field-strength image translation, called LowGAN. (A–C) Top: High-field-strength (3-T) and low-field-strength (64-mT) images and LowGAN outputs for a single participant across (A) fluid-attenuated inversion recovery (FLAIR), (B) T1-weighted (T1w), and (C) T2-weighted (T2w) contrasts. Bottom: Graphs demonstrate the structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), normalized cross-correlation (NCC), and feature similarity index (FSIM) between high field strength and low field strength (64-mT) and high field strength and LowGAN outputs. a.u. = arbitrary units.****p ≤ 0.0001. Images and caption courtesy of Radiology and the RSNA.
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