Empowering Health Care with Transformative AI
At UTHealth Houston, we are developing AI innovations that go beyond research — directly transforming patient care, disease prevention, and biomedical discovery. By integrating machine learning, neural networks, and generative AI research into healthcare, our experts are accelerating medical breakthroughs and improving treatment outcomes for diverse patient populations.
We are in the midst of the Artificial Intelligence (AI) revolution that is transforming every major industry, including healthcare. Our students and researchers with a focus on this domain develop and use advanced computational methods and tools to significantly improve patient care, disease prevention, and biomedical discovery.
The following categories represent the key research thrusts or major application domains of Artificial Intelligence at UTHealth Houston. They are not necessarily formal administrative divisions but rather reflect the primary areas where our faculty and research groups focus their AI efforts (e.g., Clinical NLP, Predictive Modeling, Health Data Privacy, Bioinformatics & Genomics, Medical Imaging Analysis, etc.). They help organize the breadth of AI research conducted at UTHealth Houston.
These models are primarily developed by faculty, postdoctoral fellows, and graduate students within UTHealth Houston's McWilliams School of Biomedical Informatics (MSBMI). Their purpose is to leverage artificial intelligence to accelerate biomedical discovery, improve clinical decision-making, and enhance patient outcomes.
Represents our strength in processing and understanding complex clinical text data from electronic health records, which is foundational for many clinical AI applications.
Showcases our application of advanced AI in high-impact disease areas like oncology or genomics, demonstrating translational potential.
Helping biologists automate genetic data analysis by generating protein interaction networks and searching scientific literature.
This demo provides a glimpse into how our advanced algorithms can be utilized to analyze data and support decision-making in real-world scenarios. Users clicking this link will be directed to an interactive, web-based demonstration environment (an "Arcade" demo). They should expect to see a guided walkthrough or a hands-on interface showcasing how a specific AI application or platform developed by our teams functions, illustrating its capabilities and potential use cases. This demo illustrates a recent application of AI tools developed at UTHealth Houston MSBMI on automating power analysis using agent-based technology. The paper is pending review and the tool is available at https://power-gpt.net/.
