MedBind: Deep Learning Framework for Integrating and Analyzing Medical Modalities

Sunstella 2023 Summer Research Camp Submission18 Authors

Keywords: Healthcare, unsupervised learning, data modalties, medical research

TL;DR: In this proposal, we present MedBind, a novel deep-learning framework specifically designed for integrating and analyzing various medical modalities.

Abstract:

The field of healthcare generates an enormous amount of diverse data, including medical images,
patient records, clinical notes, and International Classification of Diseases (ICD) codes. Efficiently
integrating and analyzing these modalities is essential for improving patient care, medical research,
and decision-making. In this proposal, we present MedBind, a novel deep-learning framework
specifically designed for integrating and analyzing various medical modalities

Submission Number: 18