mgbam/image · Apply for community grant: Academic project (gpu)

We are developing an AI-powered Clinical Intelligence Platform that integrates medical imaging analysis, clinical data management, and advanced analytics to assist healthcare professionals in diagnostics, patient monitoring, and research. The project leverages state-of-the-art transformers and vision-language models (VLMs) to analyze echocardiograms, histopathology slides, and multimodal patient data.

Our goal is to contribute to open-science efforts by building transparent, explainable AI for clinical decision support, improving patient outcomes, and advancing AI applications in healthcare. A Hugging Face Community GPU Grant will enable us to fine-tune large medical models, enhance inference efficiency, and scale data processing.

This initiative is part of a research-driven effort to develop AI-based clinical workflows and make AI-powered diagnostics more accessible to the global medical community.