Exclusive: Anthropic announces partnerships with Allen Institute and Howard Hughes Medical Institute as it bets AI can make science more efficient

Rather than use AI to achieve scientific breakthroughs, Anthropic is betting AI agents can make the routine work of science more efficient ...
Frontiers

Evolving challenges and breakthroughs in deep learning-driven medical imaging

Deep learning and artificial intelligence are driving a transformative era in medical imaging, ushering in advanced tools for ...

Scientists Develop a New Way To See Inside the Human Body Using 3D Color Imaging

A newly developed imaging method blends ultrasound and photoacoustics to capture both tissue structure and blood-vessel function in 3D.

MedGemma 1.5 & MedASR explained: High-dimensional imaging and medical speech-to-text

The adoption of artificial intelligence in healthcare is accelerating at twice the rate of the broader economy, driven by the need for tools that can handle the complexity of medical data. To support ...
IEEE

Region Uncertainty Estimation for Medical Image Segmentation With Noisy Labels

Abstract: The success of deep learning in 3D medical image segmentation hinges on training with a large dataset of fully annotated 3D volumes, which are difficult and time-consuming to acquire.
IEEE

Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2

Abstract: Manual annotation of volumetric medical images, such as magnetic resonance imaging (MRI) and computed tomography (CT), is a labor-intensive and time-consuming process. Recent advancements in ...
Medical Xpress

AI-assisted growth prediction advances orthodontics

Orthodontic treatment is most effective when timed to coincide with a child's growth peak. Traditionally, clinicians estimate growth by examining X-ray images of the cervical vertebrae—the neck bones ...