BC Platforms, a global leader in healthcare data management and analytics, today announced it…
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Examining a series of medical images and identifying organs, as well as characterizing abnormalities such as cancerous nodules (even at early stages), requires extensive experience. However, this can become a tedious task when done routinely. Furthermore, missing even the slightest signs can be detrimental to a patient’s health, making this responsibility highly stressful. AI engines provide a solution for this use case by analyzing medical images more thoroughly, automatically detecting organs, and highlighting subtle or ambiguous signs.
Juliette Bousso points our attention here to a recent study conducted by Zhang and colleagues, where promising results were obtained by training AI models to recognize multiple organs in a single image and alerting specialists to potential nodules.
