Developing active‐learning laboratory sessions that support multiple intelligences – specifically, the visual‐spatial, logical‐mathematical, and bodily‐kinesthetic knowledge – within anatomy education is critical. The aim of this study is to explore the effect of multidiscip...
A true and totally 3D app for studying human anatomy, built on an advanced interactive 3D touch interface. Features: - You can rotate models to any angles and…
download this free app right now. There is also a “Pro” version calledSkeleton System Pro IIIfor $14.99, which includes a lot of awesome features. Essential Skeleton is a work of art in itself and is a great asset to anyone studying the bones of the human body in...
Many state-of-the-art AI methods based on deep learning are achieving outstanding performance87. Reasons for their success include the strong ability of deep ML models to learn independently and the availability of large-scale labelled datasets that include precise annotations. Unfortunately, in biomed...
independent evaluation of state-of-the-art deep networks for mammography [Paper] robust monitoring for medical cyber-physical systems [Paper] detection of nasopharyngeal carcinoma using routine medical tests via machine learning [Paper] a machine learning approach for medical device classification ...
Anatomage leads in transforming real human bodies into interactive, 3D digital cadavers, showcasing accurate anatomy and physiology.
A deep-learning model pre-trained on readily available 2D scans outperforms domain-specific state-of-the-art models in the prediction of disease-risk factors from 3D medical-scan modalities. Oren Avram Berkin Durmus Eran Halperin Article1 Oct 2024Nature Biomedical Engineering ...
Design and development of human anatomy learning platform for medical students based on augmented intelligence technology. In Proceedings of the 2021 International Electronics Symposium (IES), Surabaya, Indonesia, 29–30 September 2021; pp. 195–202. [Google Scholar] [CrossRef] Eutsler, L. Pandemic...
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Further, 3D imaging techniques such as CT and MRI are used for the understanding of cardiac anatomy and to better characterize supply-demand mismatch. CT segmentation algorithms have even been FDA—cleared for coronary artery visualization66. There are many example applications. DL can be trained ...