AI
In robotic surgery, a surgeon’s hands and eyes are busy. That makes it hard to pull up labs, flip through CT slices, or inspect 3D anatomy without breaking focus. This study introduces the voice-directed Surgical Agent Orchestrator Platform (SAOP): a coordinated team of AI agents that listens to spoken
AI
Millions of U.S. patients with limited English proficiency face more than a “just translate it” problem. This study asks: how could AI help Spanish‑speaking patients—and where might it make things worse? * What they did: Interviewed 14 patient navigators using storyboards of AI for on‑demand translation and
AI
What if human pose tech could guide doctors in scans? MedSapiens takes a simple but bold idea: adapt a powerful human pose foundation model to find anatomical landmarks—key points—in medical images. * Built by fine-tuning Sapiens across multiple medical datasets. * Sets a new state of the art in success
ultrasound
Ultrasound comes in different "flavors" (grayscale and color flow Doppler), but clinical datasets rarely have both for every view. A new study trains a generative AI to "translate" between them—creating realistic videos to fill the gaps. Trained on 54,975 videos and tested on 8,
AI
What if AI could read routine MRI scans and predict a brain tumor’s genetics — no biopsy? This study pairs computational imaging with large language models (LLMs) to zero-shot predict IDH mutation status in gliomas. * Multi-parametric MRI plus tumor segmentation become interpretable visual attributes and quantitative features. * Those features are
AI
If your AI segments tumors, who is it serving—and who might it be failing? A new audit of the MAMA-MIA breast cancer segmentation dataset examines fairness not in classification, but in segmentation—the step that often feeds every downstream decision. * Researchers evaluated automated segmentation quality by age, ethnicity, and