Medical image segmentation is a fundamental component of many clinical applications such as computer-aided diagnosis, radiotherapy planning, and preoperative planning. Its accuracy and stability ...

In this post, we will show you how to create real-time interactive flowcharts for your code using VS Code CodeVisualizer. CodeVisualizer is a free, open-source Visual Studio Code extension that ...

A deepfake image of President Donald Trump that received millions of views on social media is the latest large-scale example of how generative artificial intelligence can be used to create falsehoods ...

Although millions of Americans use cannabis for medical reasons, new research suggests that there is not enough evidence to support much of that medicinal use. The research, published in the Journal ...

O. Rose Broderick reports on the health policies and technologies that govern people with disabilities’ lives. Before coming to STAT, she worked at WNYC’s Radiolab and Scientific American, and her ...

Frustrated by the medical system, some patients are turning to chatbots for help. At what cost? Credit...Pablo Delcan Supported by By Teddy Rosenbluth and Maggie Astor Wendy Goldberg thought her ...

If you take tons of photos and store them on your PC, keeping track of all those photos may soon get easier in Windows 11. According to a recent Windows Insiders blog post, Insiders across all ...

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical researchers take when running a new study involving biomedical images. For ...

1 School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China 2 School of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, ...

Welcome to the future, where the vibes are bad in almost every meaningful respect — but where you do, at the very least, get to “vibe code,” or use an AI model to write code and even build entire ...

Abstract: Accurate 3D medical image segmentation is crucial for diagnosis and treatment. Diffusion models demonstrate promising performance in medical image segmentation tasks due to the progressive ...