Researchers from the Hong Kong University of Science and Technology (HKUST) have developed an AI-powered technology that ...

Researchers at The Hong Kong University of Science and Technology (HKUST) have developed a groundbreaking AI technology that ...

Google has released MedGemma, a pair of open-source generative AI models designed to support medical text and image understanding in healthcare applications. Based on the Gemma 3 architecture, the ...

2 School of Medical Imaging, Xuzhou Medical University, Xuzhou, China Multimodal medical Image fusion (MMIF) has received widespread attention due to its promising application in clinical diagnostics ...

A new AI-based system for analyzing images taken over time can accurately detect changes and predict outcomes, according to a new study. The system's sensitivity and flexibility could make it ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

One of the important problems in medical imaging is two-class classification, for example determination of benign from malignant cases in breast cancer treatment. In this paper we present a new ...

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This paper is a comparative analysis of medical image diagnosis algorithms with Convolutional Neural Networks (CNNs) and other methods; such as Support Vector Machine (SVM), Random Forest, and ...

Instead, an AI model can pre-scan medical images and flag those containing something unusual - like a tumor or early sign of disease, called a biomarker - for a doctor's review.

Experienced-based tips on bridging the gap between in-class medical training and clinical practice by visualizing medical images in VR.