A new AI tool named Tyche addresses the ambiguity in medical image segmentation by providing multiple plausible segmentations without the need for retraining, potentially advancing diagnostic accuracy and biomedical research.
Australian researchers have developed an AI system that rapidly detects COVID-19 from chest X-rays with over 98% accuracy, potentially transforming COVID-19 diagnosis and management.
LAITEK is launching its Advanced Hybrid Migration service, which streamlines medical imaging data migration, reduces costs, and addresses the challenges of managing growing clinical image data.
Advanced techniques have pinpointed brain regions and neuron populations linked to associative fear memory, primarily in the dorsal part of the medial prefrontal cortex, providing insights into memory retrieval and its relevance to psychiatric diseases and learning mechanisms.
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A new artificial intelligence (AI) model combines imaging information with clinical patient data to improve diagnostic performance on chest X-rays, according to a study published in Radiology.
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An AI chest X-ray model showed racial and gender biases, emphasizing the need for diverse data and thorough bias checks in medical AI, researchers say.
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In a study analyzing more than 2,000 chest X-rays, radiologists were more accurate than AI in detecting three common lung diseases, with AI often producing false-positive results, especially in complex cases or when multiple issues were present.
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Researchers have developed an AI model that enhances the accuracy of determining if all cancerous tissue has been removed during breast cancer surgeries, potentially reducing the need for subsequent operations.
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