Artificial intelligence is being used in a wide variety of applications in medicine, and now scientists have developed an AI system that can boost detection rates for cancerous and precancerous lesions of the esophagus, which ...
Artificial intelligence (AI), machine learning (ML), and deep learning (DL) are increasingly transforming the medical field by enhancing diagnostic accuracy, prognostic predictions, precision treatments, and operational efficiency ...
Jul 2, 2024
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A team of researchers from Ochsner Health have published an article in the International Forum of Allergy & Rhinology exploring the application of convolutional neural networks (CNNs) to improve the accuracy and efficiency ...
Jul 1, 2024
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Soft tissue sarcomas (STSs) represent a diverse group of tumors that pose significant diagnostic and therapeutic challenges. In a recent review published in the journal Meta-Radiology, a team of researchers from The Second ...
Jun 20, 2024
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White matter hyperintensities (WMHs) on fluid-attenuated inversion recovery (FLAIR) images are imaging features in various neurological diseases and essential markers for clinical impairment and disease progression. WMHs ...
Apr 22, 2024
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Artificial Intelligence researchers have taken a major step forward in using AI in the fight against cancer.
Mar 28, 2024
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Insomnia is a pervasive sleep disorder affecting millions of people worldwide. It has long been considered a significant health concern characterized by difficulty falling asleep or remaining asleep for a sufficiently long ...
Feb 12, 2024
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Gestational diabetes mellitus (GDM) is a prevalent pregnancy complication posing significant health risks to both mothers and their newborns. Early detection and treatment of GDM are crucial to prevent adverse outcomes. Current ...
Feb 1, 2024
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A newly developed neural network is highly accurate in identifying key landmarks important in breast surgery—opening the potential for objective assessment of breast symmetry, suggests a study in the February issue of Plastic ...
Jan 26, 2024
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Mathematicians from RUDN University have built a neural network that recognizes breast cancer on histological samples with almost 100% accuracy. This was achieved with the help of a module, which "sharpened the attention" ...
Jan 16, 2024
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