A new method for analyzing deep-tissue medical images utilizes artificial neural networks to decrease background noise, giving medical practitioners a clearer, sharper image of deep tissues than currently available. Near-infrared (NIR) fluorescence imaging is a tool used to visualize vascular structures…
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Researchers present self-learning algorithms for a large number of different imaging datasets
AI-based evaluation of medical imaging data usually requires a specially developed algorithm for each task. Scientists from the German Cancer Research Center (DKFZ) have now presented a new method for configuring self-learning algorithms for a large number of different imaging…
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Researchers develop low-cost, portable brain imaging scanner
When it comes to brain scans for assessing head trauma, detecting brain cancer, and performing numerous other tests, magnetic resonance imaging (MRI) is the best option, but MRI scanners are costly, require special infrastructure, and are immobile. Now a team…
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Point of care imaging can help patients receive sight saving treatments faster
Simple, non-invasive imaging at the point of care can aid the diagnosis of corneal infections, reducing the risk of sight loss and helping patients’ vision return to pre-infection levels. Bacterial keratitis is one of the most common corneal infections in…
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Diagnostic imaging may increase risk of testicular cancer
Early and repeated exposures to diagnostic imaging, such as X-rays and CT scans, may increase the risk of testicular cancer, suggests a new study from Penn Medicine researchers published online today in PLOS ONE. “The steady rise in testicular germ…
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Linked Color Imaging Detects More Neoplastic Upper GI Lesions
TUESDAY, Oct. 20, 2020 — Linked color imaging (LCI) can detect neoplastic lesions in the upper gastrointestinal tract more frequently than white-light imaging (WLI), according to a study published online Oct. 20 in the Annals of Internal Medicine. Shoko Ono,…
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Scientists use holographic imaging to detect viruses and antibodies
A team of New York University scientists has developed a method using holographic imaging to detect both viruses and antibodies. The breakthrough has the potential to aid in medical diagnoses and, specifically, those related to the COVID-19 pandemic. “Our approach…
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Brain imaging can predict childhood weight gain
A greater density of cells in a key reward center of the brain is associated with obesity in children and predicts future weight gain, a new Yale-led study finds. The findings, published Oct. 12 in the Proceedings of the National…
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Pittsburgh Health Data Alliance developing new AI models for oncology, mental health
More than a year since they announced a partnership to advance machine learning advancement in areas such as oncology, precision medicine and imaging, the researchers from the Pittsburgh Health Data Alliance and AWS are unveiling new AI-based techniques to assess breast cancer risk,…
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Imaging probe to visualize Alzheimer’s disease-related gamma-secretase in the brain
Scientists at the Massachusetts General Hospital (MGH) have developed a molecular imaging probe to reveal Alzheimer’s disease (AD)-related γ-secretase in rodents and macaques with translational potentials in humans. γ-Secretase is a key player in the etiology of AD and a…
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