Among the many medical imaging modalities, CT and MRI scans are utilized most often for imaging bone and soft tissue respectively. As such, physicians often require both images to fully diagnose patients and determine treatment plans.
Stanford researchers in the Xing Lab have developed GPT-RadPlan, a large language model (LLM) and vision-language model (VLM) based radiation therapy treatment planning automation tool that reduces treatment planning time and lowers costs.
Stanford researchers at the Ferrara Lab have designed an ultra-fast standing device for breast ultrasound which is more comfortable than current designs and has higher resolution.
Stanford researchers at the Ferrara Lab have developed a method to select receptor targets for molecular imaging and therapies by applying spatial transcriptomics, proteomics, and machine learning.
Stanford researchers have developed a novel approach to ultrasound imaging using the differentiable beamforming pipeline, which optimizes critical imaging parameters, significantly enhancing image quality and diagnostic accuracy in ultrasound imaging.
Stanford researchers at the de la Zerda Lab have developed an innovative alignment methodology using Optical Coherence Tomography (OCT) in conjunction with histopathology to diagnose cancer or determine tumor margins.
Researchers at Stanford have developed a computational system to robustly generate quantitative perfusion parametric maps automatically from computed tomography (CT) or magnetic resonance (MR) perfusion images.
Stanford researchers have invented a unified AI architecture that integrates foundational models (FMs) with AI techniques for efficient analysis of fMRI data in psychiatric disorders.
Stanford researchers have developed a method that allows X-ray and CT imaging to achieve the same signal with two to three orders of magnitude less X-ray dosage.
Stanford inventors have created an audio-visual system with a radiotransparent screen provides a means for communication and visual distractions during procedures such as radiation therapy and radiation imaging.
Stanford researchers in the Khosla lab have invented a new class of "molecular glues" that couple the enzymatic activity of a cell-surface enzyme, transglutaminase 2 (TG2), with the ability of the LDL receptor-related protein 1 (LRP-1) to promote receptor-mediated endocytosis