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Radiography

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Image: AI has been shown to improve the performance of non-radiologists in chest imaging (Photo courtesy of 123RF)

AI Improves Emergency-Related Chest X-Ray Interpretation by Non-Radiologist Practitioners

Chest X-rays are frequently used to decide if a disease needs immediate attention. However, making this determination is hardly easy. It requires experts to identify things like projection phenomena, ... Read more

MRI

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Image: AI can predict if brain cancer patients will survive more than 8 months after receiving radiotherapy treatment (Photo courtesy of KCL)

AI Predicts Brain Cancer Survivors within Eight-Months of Radiotherapy Using MRI Scan

Glioblastoma, a particularly challenging adult primary brain cancer to treat, has a low survival rate, with only one in four patients living beyond a year after diagnosis. Typically, patients undergo an... Read more

Nuclear Medicine

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Image: A newly developed PET imaging agent is effective in identifying medullary thyroid cancer (Photo courtesy of 123RF)

Novel PET Tracer Enhances Lesion Detection in Medullary Thyroid Cancer

Medullary thyroid cancer (MTC) represents about 3% of all thyroid cancer cases and is notably rare. It arises from different cells compared to other thyroid cancers, necessitating distinct imaging and... Read more

Imaging IT

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Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
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