Medical Imaging

Physicians utilize medical imaging to see inside the body to diagnose and treat patients. This includes computed tomography (CT), magnetic resonance imaging (MRI), X-ray, ultrasound, fluoroscopy, angiography,  and the nuclear imaging modalities of PET and SPECT. 

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Accurate AI: New pneumothorax software outperforms many radiologists

A new AI system is able to identify pneumothorax more accurately than many radiologists.

Subtle Medical’s AI-powered MRI software gains FDA clearance

The newest AI-based imaging processing software from Subtle Medical has received FDA clearance.

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UCSF recruits NVIDIA to study AI in radiology

The University of California San Francisco (UCSF) is developing a new center dedicated to applying AI to the field of radiology and improving patient outcomes.

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AI could alter images, trick radiologists into misdiagnosing cancer patients

Machine learning (ML) algorithms could potentially be trained to alter mammography findings, tricking radiologists into make an incorrect diagnosis, according to new research published in the European Journal of Radiology.

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Sensyne Health to help Bayer develop AI-enabled imaging solutions

Sensyne Health announced Thursday, Oct. 10, that it has joined Bayer’s newest innovation hub, LifeHub UK, and will work toward developing solutions for automated image evaluation.

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AI improves image quality for diagnosis of liver lesions

AI can improve CT findings and play a key role in the evaluation of hypovascular hepatic metastases, according to a new study published in Radiology: Artificial Intelligence.

Change Healthcare introduces AI to its CDS system

Change Healthcare has added AI capabilities to its CareSelect Imaging clinical decision support (CDS) solution.

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Can AI match the performance of PI-RADS assessments?

A convolutional neural network (CNN) could assist radiologists with the detection and segmentation of suspicious findings on prostate MRI scans, according to a new study published in Radiology.

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