Medical Device and Diagnostic Industry (MD+DI)

How AI & VR Are Changing Medical Education

Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...
Medical Xpress

New unsupervised domain adaptation framework enhances precision in medical image segmentation

Recently, a research team developed an unsupervised domain adaptation (UDA) approach, the dual domain distribution disruption with semantics preservation (DDSP) framework, achieving high-precision ...
EurekAlert!

Boundary-aware semi-supervised segmentation boosts 3D medical image accuracy

A research team led by Prof. WANG Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, recently proposed a semi-supervised ...
Frontiers

Deep Learning for Medical Imaging Applications

Artificial Intelligence (AI) is revolutionizing the dynamics of technological advancement in the field of medical imaging, ...

AI in Medical Imaging Market Size to Hit Nearly USD 22.97 Trillion by 2035, Driven by Rising Demand for Early Disease Detection and Workflow Automation

According to Precedence Research, the global AI in medical imaging market size is calculated at USD 2.57 trillion in 2026 and ...
Science Daily

Artificial intelligence: Algorithms improve medical image analysis

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 ...
SiliconANGLE

Meta’s new image segmentation models can identify objects and people and reconstruct them in 3D

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...