AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Delayed Emergence from Anesthesia

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BrainNet: a fusion assisted novel optimal framework of residual blocks and stacked autoencoders for multimodal brain tumor classification.

Scientific reports
A significant issue in computer-aided diagnosis (CAD) for medical applications is brain tumor classification. Radiologists could reliably detect tumors using machine learning algorithms without extensive surgery. However, a few important challenges a...

An optimised YOLOv4 deep learning model for efficient malarial cell detection in thin blood smear images.

Parasites & vectors
BACKGROUND: Malaria is a serious public health concern worldwide. Early and accurate diagnosis is essential for controlling the disease's spread and avoiding severe health complications. Manual examination of blood smear samples by skilled technician...