Publications by authors named "G Cortes"
Article Synopsis
- The study explores how well contemporary large language models (LLMs) can analyze radiology board-style questions that include images, testing their multimodal capabilities.
- Researchers evaluated 280 selected questions using three formats (multimodal, image-only, text-only) with three LLMs: GPT-4V, Gemini 1.5 Pro, and Claude 3.5 Sonnet, applying statistical tests to analyze their performance.
- Results showed that while GPT-4V and Gemini performed similarly across different input types, Claude 3.5 Sonnet excelled with text and multimodal inputs, but underperformed with image-only inputs, indicating the limitations of LLMs in utilizing images for improved performance in radiology contexts
HIGHER ORDER GAUGE EQUIVARIANT CONVOLUTIONS FOR NEURODEGENERATIVE DISORDER CLASSIFICATION.
Proc IEEE Int Symp Biomed Imaging
May 2024
Diffusion MRI (dMRI) has shown significant promise in capturing subtle changes in neural microstructure caused by neurodegenerative disorders. In this paper, we propose a novel end-to-end compound architecture for processing raw dMRI data. It consists of a 3D convolutional kernel network (CKN) that extracts macro-architectural features across voxels and a gauge equivariant Volterra network (GEVNet) on the sphere that extracts micro-architectural features from within voxels.
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- - Neuraminidase (NA) is a key glycoprotein in the influenza virus that aids in replication, yet existing vaccines mainly target hemagglutinin (HA) instead of NA despite evidence linking NA antibodies to disease resistance.
- - Research showed that recombinant NA (rNA) is effective in eliciting immune responses in naïve mice and ferrets, even among those with existing immunity.
- - When rNA was added to a traditional HA-based vaccine, it significantly enhanced NA-specific immune responses in ferrets without compromising HA-specific immunity, suggesting a potential improvement in vaccine effectiveness.
Background The burgeoning interest in ChatGPT as a potentially useful tool in medicine highlights the necessity for systematic evaluation of its capabilities and limitations. Purpose To evaluate the accuracy, reliability, and repeatability of differential diagnoses produced by ChatGPT from transcribed radiologic findings. Materials and Methods Cases selected from a radiology textbook series spanning a variety of imaging modalities, subspecialties, and anatomic pathologies were converted into standardized prompts that were entered into ChatGPT (GPT-3.
View Article and Find Full Text PDFColorectal cancer (CRC) is the third leading cause of cancer deaths in the world. Standard drugs currently used for the treatment of advanced CRC-such as 5-fluorouracil (5FU)-remain unsatisfactory in their results due to their high toxicity, high resistance, and adverse effects. In recent years, mitochondria have become an attractive target for cancer therapy due to higher transmembrane mitochondrial potential.
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